System and method for automatically controlling cruising speed of vehicles

• US 4,922,428 A
• Filed: 12/09/1987
• Issued: 05/01/1990
• Est. Priority Date: 12/10/1986
• Status: Expired due to Fees

• Current Assignee: Nissan Motor Co., Ltd.
• Original Assignee: Nissan Motor Co., Ltd.
• Inventors: Takahashi, Hiroshi
• Primary Examiner(s): Lall, Parshotam S.
• Assistant Examiner(s): TRANS, VINCENT N
• Application Number:
  US07/130,473
• Time in Patent Office: 874 Days
• Field of Search: 364/431.07, 364/426.04, 364/565, 123/349, 123/361, 123/358, 180/170, 180/179, 180/176, 180/178
• US Class Current: 701/94
• CPC Class Codes: B60K 31/107 the memory being digital
• CPC Class Codes: B60W 2050/0057 Frequency analysis, spectral techniques or transforms
• CPC Class Codes: B60W 2530/16 Driving resistance
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: Y10S 706/90 Fuzzy logic

Abstract

A system and method for automatically controlling a vehicle speed to a desired cruising speed are disclosed in which learning of control parameters in an operating variable for an engine speed adjusting means such as throttle valve is inhibited when a disturbance occurs such as when running resistance of the vehicle is out of a normal range.

Claims

1. A self-adapting universal system for automatically controlling a vehicle speed of a particular vehicle to a desired cruising speed, comprising:

(a) first means for optimizing control parameters K₁ and K₂ of an operating variable u for an engine driving force adjusting mechanism of the vehicle required for a vehicle speed to reach the desired cruising speed through a learning operation during vehicle operation to derive values of the control parameters K₁ and K₂ defining the operating variable u of the engine driving force adjusting mechanism using the optimized control parameters wherein the operating variable u is defined as u=K₁ e+K₂ Δ

e, wherein K₁ and K₂ represent the control parameters, e represents a difference between a present vehicle speed and a target vehicle cruising speed, and Δ

e represents a step difference between the control difference e and that of an e'"'"' of a prior control period (Δ

e=e'"'"'-e);

(b) second means for detecting an occurrence of a predetermined disturbance known to affect the engine driving force required to reach and maintain a predetermined vehicle speed; and

(c) third means for inhibiting the learning of the control parameters K₁ and K₂ when the second means detects the occurrence of said predetermined disturbance.

2. A system as set forth in claim 1, wherein the second means comprises means for detecting engine speed, and means for determining if a predetermined normal relationship between the vehicle speed and engine speed is satisfied.

3. A system as set forth in claim 1, wherein the second means for detecting an occurrence of a predetermined disturbance comprises;

fourth means for detecting running resistance of the vehicle wherein said running resistance is based on one or more engine driving force parameters affecting said operating variable of the engine driving force, said engine driving force parameters including a weight of said vehicle, a gradient of said vehicle, a rolling resistance coefficient of said vehicle, an air resistance coefficient, and a frontal area of said vehicle, and

fifth means for determining whether the detected running resistance of the vehicle falls within a predetermined range of the running resistance and wherein the third means inhibits the learning of the control parameters when the fifth means determines that the detected running resistance falls outside of the predetermined range.

4. The system as set forth in claim 3, wherein the fourth means comprises sixth means for detecting a grade of the road and the fifth means determines whether the detected grade falls outside of a predetermined range of the gradient of the vehicle.

5. A universal system for automatically controlling a cruising speed of a particular vehicle, comprising:

(a) first means for automatically optimizing engine control parameters K₁ and K₂ for said particular vehicle for cruising speed control operation of the vehicle through a learning operation responsive to feedback signals derived from selected vehicle operating parameters to set and correct said control parameters K₁ and K₂ for said vehicle wherein said control operation is responsive to an operating variable u expressed as u=K₁ e+K₂ Δ

e, wherein K₁ and K₂ represent the control parameters, e represents a difference between a present vehicle speed and a target vehicle cruising speed, and Δ

e represents a step difference between the control difference e and the of an e'"'"' of a prior control period (Δ

e=e'"'"'-e);

(b) second means for detecting a running resistance of the vehicle;

(c) third means for determining whether the detected running resistance of the vehicle falls within a predetermined nominal range of running resistance; and

(d) fourth means for inhibiting the learning operation when the third means determines that the detected running resistance of the vehicle falls outside of the predetermined nominal range.

6. A system as set forth in claim 5, wherein the second means comprises fifth means for detecting grade of a road and wherein the third means determines whether the detected grade falls within a predetermined range.

7. A system as set forth in claim 5, wherein the control parameters are factors used for determining an optimal engine speed of said vehicle.

8. A system as set forth in claim 7, which further comprises fifth means for detecting said present vehicle speed.

9. A system as set forth in claim 7, wherein the operating variable is applied to a pseudo fuzzy calculation.

10. A system as set forth in claim 7, wherein the engine speed determining means includes a throttle valve and throttle actuator.

11. An adaptive method for automatically controlling a vehicle speed of a particular vehicle to a desired cruising speed, comprising the steps of:

(a) optimizing control parameters K₁ and K₂ defining an operating variable u required for the vehicle speed to reach the desired cruising speed through a learning operation wherein said control parameters are determined and updated and wherein an operating variable u is defined as u=K₁ e+K₂ Δ

e, wherein K₁ and K₂ represent the control parameters, e represents a difference between a present vehicle speed and a target vehicle cruising speed, and Δ

e represents a step difference between the control difference e and an e'"'"' of a prior control period (Δ

e=e'"'"'-e);

(b) detecting an occurrence of an abnormal operating condition during the operation of said vehicle to control the vehicle speed to reach the desired cruising speed; and

(c) inhibiting the learning carried out in step (a) when detecting the occurrence of said abnormal condition at step (b).

12. A self adapting system for automatically controlling a vehicle speed of a particular vehicle to a desired cruising speed, comprising:

(a) first means for optimizing control parameters K₁ and K₂ of an operating variable u for an engine driving force adjusting mechanism of the particular vehicle required for the vehicle speed to reach the desired cruising speed through a learning operation to derive optimized values of the control parameters and for controlling the operating variable of the engine driving force adjusting mechanism for said particular vehicle using the optimized control parameters wherein the operating variable u is expressed as u=K₁ e+K₂ Δ

e, wherein K₁ and K₂ represent the control parameters, e represents a difference between a present vehicle speed and a target vehicle cruising speed, and Δ

e represents a step difference between the control difference e and the of an e'"'"' of a prior control period (Δ

e=e'"'"'-e);

(b) second means for detecting an occurrence of a disturbance that affects the engine driving force required for the vehicle speed to reach the desired cruising speed; and

(c) third means for inhibiting the learning of the control parameters when the second means detects the occurrence of said disturbance.