Semi-active suspension systems with Fuzzy Logic Controllers can improve ride comfort by responding more effectively to different road conditions.
Researchers simulated the performance of full vehicle models with passive suspension elements and semi-active Magneto-Rheological (MR) dampers. They compared the responses of these systems to various road inputs using two control methods: PID and Fuzzy Logic Controllers. The results showed that semi-active dampers controlled by Fuzzy Logic Controllers can enhance ride comfort by effectively responding to different road conditions.
Abstract
In this study, the dynamic performances of full vehicle models were extensively investigated through simulations conducted in the MATLAB-Simulink environment to evaluate their responses to various system inputs, especially passive suspension elements and models equipped with semi-active Magneto-Rheological (MR) dampers. Initially, a full vehicle model was created using passive suspension elements, and the system behaviors against different road inputs are analyzed. Subsequently, integration of a semi-active MR damper onto the same full vehicle model is performed, and this specific damper was controlled using two different control methods: the first control method is selected as PID, and the second one as a Fuzzy Logic Controller (FLC). The system's responses to various road inputs are examined for both control methods and the respective controllers. This study stands out as a method used in the design and performance analysis of suspension systems for full-vehicle models. The results, especially regarding the control of semi-active MR dampers with a Fuzzy Logic Controller, indicate that semi-active dampers can respond more effectively to different road conditions and enhance ride comfort.
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