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Volume 8 Issue 5
May  2021

IEEE/CAA Journal of Automatica Sinica

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Wenfeng Li, Zhengchao Xie, Yucong Cao, Pak Kin Wong and Jing Zhao, "Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1052-1066, May 2021. doi: 10.1109/JAS.2020.1003306
Citation: Wenfeng Li, Zhengchao Xie, Yucong Cao, Pak Kin Wong and Jing Zhao, "Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1052-1066, May 2021. doi: 10.1109/JAS.2020.1003306

Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain

doi: 10.1109/JAS.2020.1003306
Funds:  This work was supported by the National Natural Science Foundation of China (51705084), the Natural Science Foundation of Guangdong Province of China (2018A030313999, 2019A1515011602), the Fundamental Research Funds for the Central Universities (2018MS46, N2003032), the Opening Project of Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology (2019kfkt06), and the Research Grants of the University of Macau (MYRG2017-00135-FST, MYRG2019-00028-FST)
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  • This paper proposes a novel sampled-data asynchronous fuzzy output feedback control approach for active suspension systems in restricted frequency domain. In order to better investigate uncertain suspension dynamics, the sampled-data Takagi-Sugeno (T-S) fuzzy half-car active suspension (HCAS) system is considered, which is further modelled as a continuous system with an input delay. Firstly, considering that the fuzzy system and the fuzzy controller cannot share the identical premises due to the existence of input delay, a reconstructed method is employed to synchronize the time scales of membership functions between the fuzzy controller and the fuzzy system. Secondly, since external disturbances often belong to a restricted frequency range, a finite frequency control criterion is presented for control synthesis to reduce conservatism. Thirdly, given a full information of state variables is hardly available in practical suspension systems, a two-stage method is proposed to calculate the static output feedback control gains. Moreover, an iterative algorithm is proposed to compute the optimum solution. Finally, numerical simulations verify the effectiveness of the proposed controllers.

     

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    Highlights

    • A T-S fuzzy model is proposed for the approximation of uncertain half-car active suspension systems.
    • A reconstructed method is employed to synchronize the membership functions of the fuzzy controller and the fuzzy system.
    • A sampled-data asynchronous control method with finite frequency criterion is proposed for the T-S fuzzy suspension system.
    • An iterative algorithm is proposed to compute the optimum fuzzy static output feedback controller.

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