Vehicle control system
First Claim
1. A vehicle autocruise control system comprising:
- first means for detecting operating condition of the vehicle through a parameter, said parameter having been assigned a fuzzy set with a membership function;
second means for carrying out fuzzy inference on the parameter and a plurality of fuzzy production rules which have been defined on the basis of an analysis of judgments and feelings of an expert driver of a vehicle without autocruise control system, each fuzzy production rule being based on the fuzzy set and including a control value, the second means selecting one of the fuzzy production rules through the fuzzy inference; and
actuator means for changing a vehicle speed in accordance with the control value of the selected rule.
1 Assignment
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Accused Products
Abstract
A vehicle control system embodied as an autocruise control. Fuzzy Logic is introduced in the system such that an expert driver'"'"'s operation or judgment made on an non-automated vehicle is able to be incorporated in the system as fuzzy production rules. In the system, the control is effected in accordance with the rules which can be expressed linguistically in a simple manner and has a predictive nature therein. Operating condition of the vehicle is detected through parameters such as a vehicle speed, a vehicle acceleration and a change of vehicle acceleration which are then assigned on a scale named universe of discourse. The satisfaction degree is evaluated so that one rule is selected. A control value is determined from the selected rule which is output to an actuator to be controlled.
61 Citations
27 Claims
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1. A vehicle autocruise control system comprising:
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first means for detecting operating condition of the vehicle through a parameter, said parameter having been assigned a fuzzy set with a membership function; second means for carrying out fuzzy inference on the parameter and a plurality of fuzzy production rules which have been defined on the basis of an analysis of judgments and feelings of an expert driver of a vehicle without autocruise control system, each fuzzy production rule being based on the fuzzy set and including a control value, the second means selecting one of the fuzzy production rules through the fuzzy inference; and actuator means for changing a vehicle speed in accordance with the control value of the selected rule. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A vehicle autocruise control system, comprising;
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first means for detecting operating condition of the vehicle including vehicle speed, said operating condition having been assigned a fuzzy set with a membership function; second means for carrying out fuzzy inference by applying the detected operating condition to the fuzzy set to determine a control value; and actuator means for changing the vehicle speed in response to the control value. - View Dependent Claims (10)
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11. A vehicle autocruise control system, comprising;
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first means for detecting operating condition of the vehicle including vehicle speed, the detected operating condition having been assigned a fuzzy set with a membership function; second means for carrying out fuzzy inference by applying the detected operating condition to the fuzzy set to determine a control command, the second means determining a control value after predicting change in the vehicle operating condition which would occur if the vehicle speed be presumed to change in accordance with the control command; and actuator means for changing the vehicle speed in response to the determined control value. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A method for vehicle autocruise control, comprising the steps of:
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assigning a fuzzy set with a membership function to a vehicle parameter; defining a plurality of fuzzy production rules on the basis of an analysis of judgments and feelings of an expert driver of a vehicle without autocruise control system with each fuzzy production rule being based on the fuzzy set and including a control value; detecting operating condition of the vehicle through the vehicle parameter; carrying out fuzzy inference on the vehicle parameter and the plurality of fuzzy production rules; selecting one of the fuzzy production rules through the fuzzy inference; and changing vehicle speed in accordance with the control value of the selected rule.
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Specification