023 Fuzzy drive expert system for an automobile: M. Maeda, S. Murakami, Y. Araki, pp 105–108
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 124 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0967-0661
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✦ Synopsis
A control scheme for an active suspension system is developed using fuzzy logic. In contrast to the trial-and-error approach used in most fuzzy logic control (FLC) development, the focus of this research work is on developing systematic learning algorithms that can be used to fine-tune an FLC. A performance-based tuning algorithm is presented and used to adjust an FLC initially constructed using empirical intuition. Simulations are used to demonstrate the performance of the resulting control system. 022 Robust Sliding Mode Control of Semi-Active and Active Suspemlan for Private Cars S. Roukleh, A. Tltll, pp 99-104 This paper demonstrates the value of considering variablestructure system theory, for the design of semi-active and active Ssuspensions based on a quarter-car model and a full-car model. ome technological constraints on the actuator (which often has, for an adaptive suspension, both soft and hard damping) can then easily be taken into account. 023 Fuzzy Drive Expert System for an Automobile M. Maeda, S. Murakami, Y. Arakl, pp 105-108
This paper deals with a fuzzy drive expert system for an autocruise car. Tiffs system consists of four role sets: environment recognition rules, driving control rules, learning-evaluation rules, and management meta-rules. Those rules are, respectively, hierarchically constructed. Also, this system is structured into five units, the knowledge rule base, and a man-machine interface. The control unit manipulates the steering and the throttle to control the direction and the speed of the vehicle.