4.7 Article

Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2016.2564930

关键词

Active suspension system; dynamic sliding-mode control (SMC); robust control; Takagi-Sugeno (T-S) fuzzy model

资金

  1. Natural Science Foundation of China [61125303, 61374053, 61403152]
  2. Program for Changjiang Scholars and Innovative Research Team in University of China [IRT1245]
  3. Australian Research Council Discovery Scheme [140100544]
  4. Qatar National Research Fund (a member of Qatar Foundation) under NPRP [7-1482-1-278]
  5. Huawei Innovation Research Program

向作者/读者索取更多资源

This paper investigates the fuzzy control issue for uncertain active suspension systems via dynamic sliding-mode method. The Takagi-Sugeno fuzzy approach is adopted on the background of the varying masses to describe the prescribed non-linear system in order to achieve the design targets via the method of sector nonlinearity. This paper employs the dynamic sliding-mode scheme to control nonlinear active suspension systems. In the proposed sliding-mode control scheme, the sliding surface function is formed linearly with the system states and control inputs. Then, a fuzzy dynamic term is utilized to construct the sliding-mode feedback controller. In existing results, the sliding mode is achieved and maintained with no consideration of the system perturbations. Thus, sufficient conditions are proposed to make the sliding surface reachable with the existence of the system perturbations to make the augmented system stable. Finally, simulation results are presented to verify the effectiveness of the proposed schemes.

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