Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 17, Issue 2, Pages 343-356Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2008.2011814
Keywords
Electrohydraulic actuator; input constraint; nonlinear dynamic system; Takagi-Sugeno (T-S) fuzzy modeling; uncertainty; vehicle active suspension
Funding
- Early Career Research Grant
- University of Technology, Sydney
- Australian Research Council's Discovery Projects funding scheme [DP0773415]
- Australian Research Council [DP0773415] Funding Source: Australian Research Council
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This paper presents a Takagi-Sugeno (T-S) model-based fuzzy control design approach for electrohydraulic active vehicle suspensions considering nonlinear dynamics of the actuator, sprung mass variation, and constraints on the control input. The T-S fuzzy model is first applied to represent the nonlinear uncertain electrohydraulic suspension. Then, a fuzzy state feedback controller is designed for the obtained T-S fuzzy model with optimized H-infinity performance for ride comfort by using the parallel-distributed compensation (PDC) scheme. The sufficient conditions for the existence of such a controller are derived in terms of linear matrix. inequalities (LMIs). Numerical simulations on a full-car suspension model are performed to validate the effectiveness of the proposed approach. The obtained results show that the designed controller can achieve good suspension performance despite the existence of nonlinear actuator dynamics, sprung mass variation, and control input constraints.
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