Title: Vehicle stability enhancement control
Abstract: A side-slip velocity estimation module for a vehicle stability enhancement control system includes a side-slip acceleration estimation module that determines an estimated side-slip acceleration of a vehicle. A limited-frequency integrator integrates the estimated side-slip acceleration to determine an estimated side-slip velocity of the vehicle. A reset logic module clears an output of the limited-frequency integrator when a first condition occurs. The first condition is one of a straight-driving condition, a speed condition, and a sensor bias condition. The estimated side-slip velocity is compared to a desired side-slip velocity to produce a side-slip control signal. The side-slip control signal is combined with a yaw rate control signal to produce an actuator control signal. The actuator control signal is received by one of at least one brake actuator and a rear-wheel steering actuator to create a yaw moment to correct a dynamic behavior of the vehicle.
Patent Number: 6,856,885 Issued on 02/15/2005 to Lin, et al.
| Inventors:
|
Lin; William C. (Troy, MI);
Chen; Shih-Ken (Troy, MI)
|
| Assignee:
|
General Motors Corporation (Detroit, MI)
|
| Appl. No.:
|
404371 |
| Filed:
|
April 1, 2003 |
| Current U.S. Class: |
701/70; 303/146; 340/438; 477/34; 477/107; 701/36 |
| Intern'l Class: |
G06F 019//00 |
| Field of Search: |
701/70,84,301,36,82,74,41
340/903,436,438
303/140,141,166,167,146
280/5.51
180/197,204,446,443
477/34,115,107
|
References Cited [Referenced By]
U.S. Patent Documents
| 5676433 | Oct., 1997 | Inagaki et al. | 303/146.
|
| 5720533 | Feb., 1998 | Pastor et al. | 303/147.
|
| 5797663 | Aug., 1998 | Kawaguchi et al. | 303/146.
|
| 5862503 | Jan., 1999 | Eckert et al. | 701/78.
|
| 5931887 | Aug., 1999 | Hac | 701/71.
|
| 6035251 | Mar., 2000 | Hac et al. | 701/70.
|
| 6219610 | Apr., 2001 | Araki | 701/72.
|
| 6374172 | Apr., 2002 | Yamaguchi et al. | 701/90.
|
| 6658342 | Dec., 2003 | Hac | 701/70.
|
| 6662898 | Dec., 2003 | Mattson et al. | 180/446.
|
| 6691017 | Feb., 2004 | Banno et al. | 701/84.
|
| 2002/0143451 | Oct., 2002 | Hac et al. | 701/42.
|
| 2003/0089542 | May., 2003 | Mori | 180/197.
|
| 2003/0125864 | Jul., 2003 | Banno et al. | 701/84.
|
| Foreign Patent Documents |
| 10181552 | Jul., 1998 | JP | .
|
| 2001004650 | Jan., 2001 | JP | .
|
Other References
Dorgham, "International Journal o Vehicle Design", vol. 23, Nos. 1/2, 2000,
pp. 136-149.
|
Primary Examiner: Black; Thomas G.
Assistant Examiner: To; Tuan C
Attorney, Agent or Firm: Marra; Kathryn A.
Claims
What is claimed is:
1. A side-slip velocity estimation module for a vehicle stability
enhancement control system, comprising:
a side-slip acceleration estimation module that determines an estimated
side-slip acceleration of a vehicle;
a limited-frequency integrator that integrates said estimated side-slip
acceleration to determine an estimated side-slip velocity of said vehicle;
and
a reset logic module that clears an output of said limited-frequency
integrator when a first condition occurs.
2. The side-slip velocity estimation module of claim 1 wherein said
estimated side-slip acceleration is determined based on a yaw rate, a
lateral acceleration, and a speed of said vehicle.
3. The side-slip velocity estimation module of claim 1 wherein said first
condition is a straight-driving condition that is determined based on a
yaw rate, a lateral acceleration, and an angle of a steering wheel of said
vehicle.
4. The side-slip velocity estimation module of claim 1 wherein said first
condition is a speed condition that is based on a speed of said vehicle.
5. The side-slip velocity estimation module of claim 1 wherein said first
condition is a sensor bias condition that is based on said estimated
side-slip acceleration.
6. The side-slip velocity estimation module of claim 1 wherein said
limited-frequency integrator includes a high-pass filter.
7. The side-slip velocity estimation module of claim 1 wherein said
limited-frequency integrator includes a feedback loop.
8. The side-slip velocity estimation module of claim 1 wherein said
estimated side-slip velocity is compared to a desired side-slip velocity
to produce a side-slip control signal.
9. The side-slip velocity estimation module of claim 8 wherein said
side-slip control signal is combined with a yaw rate control signal to
produce an actuator control signal.
10. The side-slip velocity estimation module of claim 9 wherein said
actuator control signal is received by at least one brake actuator that
applies a brake pressure difference across at least one axle of said
vehicle to create a yaw moment to correct a dynamic behavior of said
vehicle.
11. A side-slip velocity estimation module for a vehicle stability
enhancement control system, comprising:
a side-slip acceleration estimation module that determines an estimated
side-slip acceleration of a vehicle; and
a limited-frequency integrator that integrates said estimated side-slip
acceleration to determine an estimated side-slip velocity of said vehicle,
wherein said estimated side-slip velocity is compared to a desired
side-slip velocity to produce a side-slip control signal, said side-slip
control signal is combined with a yaw rate control signal to produce an
actuator control signal, and said actuator control signal is received by a
rear-wheel steering actuator that turns a set of rear wheels of said
vehicle to create a yaw moment to correct a dynamic behavior of said
vehicle.
12. A method of side-slip velocity estimation for a vehicle stability
enhancement control system, comprising:
determining an estimated side-slip acceleration of a vehicle;
integrating said estimated side-slip acceleration to determine an estimated
side-slip velocity of said vehicle, wherein said estimated side-slip
acceleration is integrated with a limited-frequency integrator; and
clearing an output of said limited-frequency integrator when a first
condition occurs.
13. The method of claim 12 wherein said estimated side-slip acceleration is
determined based on a yaw rate, a lateral acceleration, and a speed of
said vehicle.
14. The method of claim 12 wherein said first condition is a
straight-driving condition that is determined based on a yaw rate, a
lateral acceleration, and an angle of a steering wheel of said vehicle.
15. The method of claim 12 wherein said first condition is a speed
condition that is based on a speed of said vehicle.
16. The method of claim 12 wherein said first condition is a sensor bias
condition that is based on said estimated side-slip acceleration.
17. The method of claim 12 wherein said limited-frequency integrator
includes a high-pass filter.
18. The method of claim 12 wherein said limited-frequency integrator
includes a feedback loop.
19. The method of claim 12 further comprising:
comparing said estimated side-slip velocity to a desired side-slip velocity
to produce a side-slip control signal.
20. The method of claim 19, further comprising:
combining said side-slip control signal with a yaw-rate control signal to
produce an actuator control signal.
21. The method of claim 20, further comprising:
transmitting said actuator control signal to at least one brake actuator;
and
applying a brake pressure difference across at least one axle of said
vehicle to create a yaw moment to correct a dynamic behavior of said
vehicle.
22. A method of side-slip velocity estimation for a vehicle stability
enhancement control system, comprising:
determining an estimated side-slip acceleration of a vehicle;
integrating said estimated side-slip acceleration to determine an estimated
side-slip velocity of said vehicle, wherein said estimated side-slip
acceleration is integrated with a limited-frequency integrator;
comparing said estimated side-slip velocity to a desired side-slip velocity
to produce a side-slip control signal;
combining said side-slip control signal with a yaw-rate control signal to
produce an actuator control signal;
transmitting said actuator control signal to a rear-wheel steering
actuator; and
turning a set of rear wheels of said vehicle to create a yaw moment to
correct a dynamic behavior of said vehicle.
23. A method of side-slip velocity estimation for a vehicle stability
enhancement control system, comprising:
determining an estimated side-slip acceleration of a vehicle based on a yaw
rate, a lateral acceleration, and a speed of said vehicle;
integrating said estimated side-slip acceleration to determine an estimated
side-slip velocity of said vehicle, wherein said estimated side-slip
acceleration is integrated with a limited-frequency integrator; and
clearing an output of said limited-frequency integrator when a first
condition occurs, wherein said first condition is at least one of a
straight-driving condition, a speed condition, and a sensor bias
condition.
Description
FIELD OF THE INVENTION
The present invention relates to vehicles, and more particularly to vehicle
stability control systems.
BACKGROUND OF THE INVENTION
There are two motions that take place when a vehicle turns. The first
motion is a turning motion called yaw motion. Yaw motion takes place as
the vehicle body spins around an imaginary axis that is vertical to the
ground. The second motion is a lateral sliding motion called side-slip
motion. Side-slip motion occurs in the same direction as the turn or in
the opposite direction depending on the speed of the vehicle.
A desired yaw rate and side-slip velocity are determined based on the speed
of a vehicle and the position of the steering wheel. The desired values
correspond to the expected yaw rate and side-slip velocity when a vehicle
is traveling on a dry and clean surface. When the actual yaw rate and/or
side-slip velocity significantly surpasses the desired values, the driver
feels a loss of control of the vehicle.
The actual yaw rate and side-slip velocity of the vehicle are compared to
the desired values. Corrective action is taken when the desired values are
surpassed by a predetermined threshold. When a significant discrepancy
exists between the desired yaw rate and the actual yaw rate and/or the
desired side-slip velocity and the actual side-slip velocity of the
vehicle, it is likely the road conditions necessitate vehicle stability
enhancement.
Current methods of vehicle stability enhancement include using yaw rate
feedback and side-slip acceleration feedback control signals. The yaw rate
of a vehicle can be measured using a commercially available yaw rate
sensor. The side-slip velocity of a vehicle can be measured using
side-slip velocity sensors, which are very expensive. Instead of using a
sensor, side-slip acceleration can be estimated based on the lateral
acceleration, yaw rate, and speed of a vehicle. Ideally, the side-slip
velocity of a vehicle can be obtained by integrating the side-slip
acceleration. However, since sensor bias exists in yaw rate sensors and
lateral accelerometers, the integration tends to drift due to the unwanted
bias signal being integrated.
In one conventional approach, a vehicle stability enhancement system uses
yaw rate feedback and side-slip angle feedback (which can be derived from
side-slip velocity) to create a corrective yaw moment to correct a dynamic
behavior of a vehicle. The estimation of side-slip velocity is implemented
using a dynamic observer that captures the estimated state of dynamics of
the vehicle. However, the estimation is based on a vehicle's cornering
compliances, which are variable vehicle parameters. The cornering
compliances vary over a wide range and depend on the type of surface that
the vehicle is operating on. Therefore, the estimate is not as accurate as
desired.
SUMMARY OF THE INVENTION
A vehicle stability enhancement control system according to the present
invention includes a side-slip velocity estimation module. A side-slip
acceleration estimation module determines an estimated side-slip
acceleration of a vehicle. A limited-frequency integrator integrates the
estimated side-slip acceleration to determine an estimated side-slip
velocity of the vehicle.
In other features, the estimated side-slip acceleration is determined based
on a yaw rate, a lateral acceleration, and a speed of the vehicle. A reset
logic module clears an output of the limited-frequency integrator when a
first condition occurs. The first condition is a straight-driving
condition that is determined based on a yaw rate, a lateral acceleration,
and an angle of a steering wheel of the vehicle. The first condition is a
speed condition that is based on a speed of the vehicle. The first
condition is a sensor bias condition that is based on the estimated
side-slip acceleration.
In still other features of the invention, the limited-frequency integrator
includes a high-pass filter. The limited-frequency integrator includes a
feedback loop. The estimated side-slip velocity is compared to a desired
side-slip velocity to produce a side-slip control signal. The side-slip
control signal is combined with a yaw rate control signal to produce an
actuator control signal. The actuator control signal is received by at
least one brake actuator that applies a brake pressure difference across
at least one axle of the vehicle to create a yaw moment to correct a
dynamic behavior of the vehicle. The actuator control signal is received
by a rear-wheel steering actuator that turns a set of rear wheels of the
vehicle to create a yaw moment to correct a dynamic behavior of the
vehicle.
Further areas of applicability of the present invention will become
apparent from the detailed description provided hereinafter. It should be
understood that the detailed description and specific examples, while
indicating the preferred embodiment of the invention, are intended for
purposes of illustration only and are not intended to limit the scope of
the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
The present invention will become more fully understood from the detailed
description and the accompanying drawings, wherein:
FIG. 1 illustrates a vehicle stability enhancement system with differential
braking control and rear-wheel steering control;
FIG. 2 is a functional block diagram of a vehicle stability enhancement
control system;
FIG. 3 is a functional block diagram of the side-slip velocity estimation
module of FIG. 2;
FIG. 4 is a functional block diagram of the side-slip acceleration
estimation module of FIG. 3;
FIG. 5 is a functional block diagram of the reset logic module of FIG. 3;
FIG. 6 is a functional block diagram of the straight-driving condition
module of FIG. 5;
FIG. 7 is a functional block diagram of the integration module of FIG. 3;
FIG. 8 is a functional block diagram of a limited-frequency integrator
including a high-pass filter;
FIG. 9 is a functional block diagram of a limited-frequency integrator
including a feedback loop;
FIG. 10A is a plot of actual side-slip velocity and estimated side-slip
velocity as a function of time without the presence of sensor bias; and
FIG. 10B is a plot of actual side-slip velocity and estimated side-slip
velocity as a function of time with the presence of sensor bias.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
The following description of the preferred embodiment(s) is merely
exemplary in nature and is in no way intended to limit the invention, its
application, or uses. For purposes of clarity, the same reference numbers
will be used in the drawings to identify similar elements.
Referring to FIG. 1, an exemplary vehicle stability enhancement system is
illustrated for a vehicle 10 with rear-wheel steering and differential
braking. To implement differential braking, a controller 12 sends an
actuator control signal 14 to a differential brake control module 16. The
differential brake control module 16 sends a brake control signal 18 to
one or more brake actuators 20. The brake control signal 18 instructs the
brake actuators 20 to create a brake pressure difference across at least
one of the axles 22 of the vehicle 10. The brake pressure difference
creates a yaw moment to correct a dynamic behavior of the vehicle 10 when
there is a discrepancy between a desired yaw rate and actual yaw rate
and/or a desired side-slip velocity and actual side-slip velocity of the
vehicle 10.
To implement rear-wheel steering, the controller 12 sends the actuator
control signal 14 to a rear-wheel steering control module 24. The
rear-wheel steering control module 24 sends a steering control signal 26
to a rear-wheel steering actuator 28. The rear-wheel steering actuator 28
turns a set of rear wheels 30 of the vehicle 10 to create a yaw moment to
correct the dynamic behavior of the vehicle 10. While the vehicle
stability enhancement system of FIG. 1 implements both differential
braking and rear-wheel steering, either system alone or other methods
could be used for vehicle stability enhancement.
Whether differential braking, rear-wheel steering, or both are implemented,
the controller 12 receives information about the operating conditions of
the vehicle 10 from several sensors. A steering wheel angle sensor 32
detects the position of a steering wheel 34 of the vehicle 10 and sends a
steering wheel angle signal 36 to the controller 12. A speed sensor 38
detects the speed of the vehicle 10 and sends a speed signal 40 to the
controller 12. A lateral accelerometer 42 detects the lateral acceleration
of the vehicle 10 and sends a lateral acceleration signal 44 to the
controller 12. A yaw rate sensor 46 detects the yaw rate of the vehicle 10
and sends a yaw rate signal 48 to the controller 12. While the controller
12 is shown as an independent element of the vehicle 10, it may be
implemented as part of a computer of the vehicle 10. Additionally, the
rear-wheel steering control module 24 and the differential brake control
module 16 may have independent controllers to process information
collected from the sensors. The present invention may also be implemented
as a feature that a driver could turn off. Typically, an expert driver can
outperform a vehicle stability enhancement system.
Referring now to FIG. 2, the controller 12 implements a vehicle stability
enhancement control system 56 that includes a command interpreter module
58, a yaw rate feedback module 60, a side-slip velocity estimation module
62, and a side-slip velocity feedback module 64. The command interpreter
module 58 generates a desired yaw rate signal 66 and a desired side-slip
velocity signal 68 based on the steering wheel angle signal 36 and the
speed signal 40. If the values of the desired yaw rate signal 66 and/or
the desired side-slip velocity signal 68 are surpassed by a predetermined
threshold, it is likely the road conditions necessitate vehicle stability
enhancement and a driver feels a loss of control of the vehicle 10. The
predetermined threshold may be a function of the speed of the vehicle 10.
The yaw rate feedback module 60 generates a yaw rate control signal 70 by
comparing the yaw rate signal 48 and the desired yaw rate signal 66. The
side-slip velocity estimation module 62 generates an estimated side-slip
velocity signal 72 based on the steering wheel angle signal 36, speed
signal 40, and lateral acceleration signal 44. The side-slip velocity
feedback module 64 generates a side-slip velocity control signal 74 by
comparing the desired side-slip velocity signal 68 and the estimated
side-slip velocity signal 72. A summing node 76 combines the yaw rate
control signal 70 and the side-slip velocity control signal 74 to generate
the actuator control signal 14. The actuator control signal 14 instructs
the differential brake control module 16, the rear-wheel steering control
module 24, or both to create a corrective yaw moment to correct the
dynamic behavior of the vehicle 10.
Referring now to FIG. 3, the side-slip velocity estimation module 62
includes a side-slip acceleration estimation module 78, an integration
module 80, and a reset logic module 82. The side-slip acceleration
estimation module 78 generates an estimated side-slip acceleration signal
84 based on the yaw rate signal 48, lateral acceleration signal 44, and
the speed signal 40. The estimated side-slip acceleration signal 84 is the
integrand of the integration module 80. The integration module 80
integrates the estimated side-slip acceleration signal 84 to generate the
estimated side-slip velocity signal 72. The reset logic module 82
generates a reset signal 86 based on the estimated side-slip acceleration
signal 84, the lateral acceleration signal 44, the speed signal 40, and
the steering wheel angle signal 36.
The integration module 80 preferably includes a resettable
limited-frequency integrator. A resettable integrator works like a typical
integrator to accumulate the values of the integrand when a reset command
is inactive (FALSE). The resultant integral is cleared to zero when the
reset command is active (TRUE). A limited-frequency integrator has a
limitation on its input frequency range. If the sensors used to estimate
side-slip acceleration were ideal, there would be no need to reset the
integrator or limit its input frequency range. Side-slip velocity is
mathematically the integration of side-slip acceleration. However,
practically all sensors have bias and/or drift as understood by those
skilled in the art of vehicle controls. Without resetting the integrator
or limiting its input frequency, the integrator would continue to
accumulate the bias and/or drift, which reduces the accuracy of the
signal. Ideally, the bias and/or drift components could be estimated and
removed before the integration process. However, a bias and/or drift
removal process would be very difficult. Although the bias and/or drift
are not removed or blocked off completely when the reset command is
inactive, the accumulation during such a limited period of time is not
significant enough to cause adverse effects in the control system.
Limiting the input frequency range reduces the effect of steady-state or
near-steady-state bias and/or drift.
The integration module 80 accepts the reset signal 86 and clears the
estimated side-slip velocity signal 72 when the reset signal 86 is TRUE.
The reset signal 86 is TRUE when the existing vehicle motion does not
require vehicle stability enhancement. The estimated side-slip velocity
signal 72 is the integral of the estimated side-slip acceleration signal
84 when the reset signal 86 is FALSE. The reset signal 86 is FALSE when
the existing vehicle motion requires vehicle stability enhancement.
Referring now to FIG. 4, the side-slip acceleration estimation module 78 is
further illustrated. Side-slip acceleration is estimated based on the
values of the yaw rate signal 48, the lateral acceleration signal 44, and
the speed signal 40. In step 94, the controller 12 reads the current value
of the yaw rate signal 48, lateral acceleration signal 44, and speed
signal 40. In step 96, the estimated side-slip acceleration is calculated.
The product of the yaw rate and speed is subtracted from the lateral
acceleration. The result is the value of the estimated side-slip
acceleration signal 84.
Referring now to FIG. 5, the reset logic module 82 is further illustrated.
In step 104, a timer is initialized and set to zero. Step 104 is
preferably performed before the reset logic module 82 is executed for the
first time after the vehicle 10 is turned on. In step 106, the controller
12 reads the current values of the estimated side-slip acceleration signal
84, the yaw rate signal 48, the speed signal 40, and the steering wheel
angle signal 36. In step 108, the controller 12 determines a
straight-driving condition that indicates whether the vehicle 10 is
turning or not. In step 110, the controller 12 proceeds to step 112 if the
speed of the vehicle 10 is below a first threshold value or the
straight-driving condition is TRUE. In step 112, the reset signal 86 is
set to TRUE and the output of the integration module 80 is cleared.
Following step 112, the controller 12 resets the timer to zero in step
114. The fact that the vehicle 10 is not turning and/or is traveling below
a threshold speed, 10 miles per hour for example, indicates that there is
no potential need for vehicle stability enhancement.
If the speed of the vehicle 10 is above the first threshold and the
straight-driving condition is FALSE, the controller 12 proceeds from step
110 to step 116. The fact that the vehicle 10 is turning and the speed is
above a first threshold value indicates the potential need for vehicle
stability enhancement. In step 116, the controller 12 proceeds to step 118
if the absolute value of the estimated side-slip acceleration is above a
second threshold value. When the estimated side-slip acceleration is above
the second threshold value, it is likely that the value of the estimated
side-slip acceleration signal 84 is caused by genuine vehicle motion and
not sensor bias or drift. In step 118, the timer is reset to zero and the
controller 12 proceeds to step 120. The reset signal 86 is set to FALSE
and the output of the integration module 80 is the estimated side-slip
velocity.
If the absolute value of the estimated side-slip acceleration is below the
second threshold, 0.02 g for example, the controller 12 proceeds to step
122. In step 122, the controller 12 proceeds to step 124 when the timer is
below a third threshold value. Step 124 increments the timer and the
controller 12 proceeds to step 126. The reset signal 86 is set to FALSE
and the output of the integration module 80 is the estimated side-slip
velocity. When the absolute value of the estimated side-slip acceleration
is above the second threshold and the timer is above the third threshold,
it is likely that the value of the estimated side-slip acceleration is
actually caused by sensor bias and drift and not genuine vehicle motion.
If the timer is above the third threshold, two seconds for example, the
controller 12 proceeds to step 112.
Referring now to FIG. 6, step 108 of FIG. 5 is further illustrated. In step
134, the controller 12 reads the current values from the yaw rate signal
48, the lateral acceleration signal 44, and the steering wheel angle
signal 36. In step 136, the controller 12 proceeds to step 138 when the
absolute value of the yaw rate is less than a first threshold, the
absolute value of the lateral acceleration is below a second threshold,
and the steering wheel angle is below a third threshold. Otherwise, the
controller 12 proceeds to step 140. Step 138 sets the straight-driving
condition to TRUE, and step 140 sets the straight-driving condition to
FALSE.
Referring now to FIG. 7, the integration module 80 is further illustrated.
In step 148, the output of the integration module 80 is cleared. In step
150, the internal states of the integration module 80 are cleared. Steps
148 and 150 are preferably performed before the integration module 80 is
executed for the first time after the vehicle 10 is turned on. In step
152, the current values of the estimated side-slip acceleration signal 84
and the reset signal 86 are input to the integration module 80. In step
154, the integration module 80 integrates the estimated side-slip
acceleration. In step 156, the controller 12 proceeds to step 158 when the
reset signal 86 is set to TRUE. Step 158 clears the output and internal
states of the integration module 80. Otherwise, the controller 12 proceeds
from step 156 to step 160 when the reset signal 86 is FALSE. At step 160,
the output of the integration module 80 is the value of the estimated
side-slip velocity signal 72.
Referring now to FIGS. 8 and 9, step 154 of FIG. 7 is further illustrated.
The input to the integration module 80 has a limit on its frequency range.
This is to ensure that sensor bias or drift does not have a significant
effect on the estimation of vehicle side-slip velocity. The bias or drift
is typically a steady-state or near-steady-state condition with a
near-zero frequency.
FIG. 8 illustrates an exemplary method of frequency limitation. A high-pass
filter 168 is applied to an input signal 170. The cutoff frequency is set
to a low level, 0.05 Hz for example, to represent the frequency of sensor
bias or drift signals. Following the high-pass filter 168, the signal
proceeds to an accumulator 172 and an integrator output signal 174
represents the integral of the input signal 170.
FIG. 9 shows another exemplary method of frequency limitation including a
feedback loop. A feedback gain 176 is multiplied by the integrator output
signal 174 and offsets the input signal 170. The feedback gain 176 is
chosen to be a frequency below which the integration of the input signal
170 is to be limited, as understood by those skilled in the art of system
dynamics. When the frequency of the input signal 170 is significantly
larger than the feedback gain 176, the limited-frequency integrator
behaves like a standard integrator. When the frequency of the input signal
170 is below the feedback gain 176, the limited-frequency integrator
behaves like a process with a constant gain that is determined by the
feedback gain 176. Therefore, signals due to sensor bias will not be
integrated and will be limited to a component that is the product of the
magnitude of the bias and the feedback gain.
Referring now to FIGS. 10A and 10B, the effect of side-slip velocity
estimation is illustrated with and without the presence of sensor bias and
drift. FIG. 10A shows an estimated side-slip velocity plot 184 and a
measured side-slip velocity plot 186 without the presence of sensor bias.
The estimated side-slip velocity plot 184 closely follows the measured
side-slip velocity plot 186. FIG. 10B shows an estimated side-slip
velocity plot 188 and a measured side-slip velocity plot 190 with the
presence of sensor bias. The estimated side-slip velocity plot 188 departs
from the path of the measured side-slip velocity plot 190 towards the end
of the graph. At that point, the integrator is reset and the integration
process is terminated to prevent the integrator from accumulating
undesired signals due to sensor bias. This prevents the stability
enhancement control system from making a false control action.
The present invention provides for improved vehicle stability enhancement
including a more accurate estimation of vehicle side-slip velocity. This
is achieved with little software overhead and without additional hardware
costs over and above the existing state-of-the-art stability enhancement
systems.
Those skilled in the art can now appreciate from the foregoing description
that the broad teachings of the present invention can be implemented in a
variety of forms. Therefore, while this invention has been described in
connection with particular examples thereof, the true scope of the
invention should not be so limited since other modifications will become
apparent to the skilled practitioner upon a study of the drawings,
specification, and the following claims.
*
