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In this paper, Particle Swarm Optimization (PSO) is developed for tuning Fuzzy Logic Controller applied to Active suspension system. First the controller is designed according to Fuzzy Logic rules for disturbance rejection to reduce unwanted vehicle's motion. Then the Fuzzy Logic Controller (FLC) is optimized with PSO and Genetic Algorithm (GA) so as to obtain optimal adjustment of the scaling factors,...
Automotive industry is growing rapidly by the involving of multi-fields not only mechanical engineering but also electrical and electronic engineering, material and more. As a key system in vehicles, suspension system and its control has been researched in a long time. A well-controlled suspension system will provide high vehicle handling, good driving pleasure, high comfort for passengers, and good...
The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence...
This paper proposes anti-lock braking system to integrate with active suspensions system applied in a quarter vehicles model, and can use a road estimate to get the road condition. This estimate is based on the LuGre friction model with a road condition parameter, and can transmit a reference slip ration to slip ratio controller through a mapping function considering the effect of road characteristics...
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