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- Title
Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper.
- Authors
Paksoy, Mahmut; Guclu, Rahmi; Cetin, Saban
- Abstract
Intelligent controllers are studied for vibration reduction of a vehicle consisting in a semiactive suspension system with a magnetorheological (MR) damper. The vehicle is modeled with seven degrees of freedom as a full vehicle model. The semiactive suspension system consists of a linear spring and an MR damper. MR damper is modeled using Bouc-Wen hysteresis phenomenon and applied to a full vehicle model. Fuzzy Logic based controllers are designed to determine the MR damper voltage. Fuzzy Logic and Self-Tuning Fuzzy Logic controllers are applied to the semiactive suspension system. Results of the system are investigated by simulation studies in MATLAB-Simulink environment. The performance of the semiactive suspension system is analyzed with and without control. Simulation results showed that both Fuzzy Logic and Self-Tuning Fuzzy Logic controllers perform better compared to uncontrolled case. Furthermore, Self-Tuning Fuzzy Logic controller displayed a greater improvement in vibration reduction performance compared to Fuzzy Logic controller.
- Subjects
MAGNETORHEOLOGICAL dampers; INTELLIGENT control systems; IMAGE stabilization; ADAPTIVE control systems; FUZZY logic; AUTOMOBILE springs &; suspension
- Publication
Advances in Mechanical Engineering (Sage Publications Inc.), 2014, p1
- ISSN
1687-8132
- Publication type
Article
- DOI
10.1155/2014/816813