To fulfill the high-performance demands for permanent magnet synchronous motors (PMSMs) in transportation applications, a time-varying barrier Lyapunov function (BLF)-based command filtered fuzzy adaptive controller is presented for PMSMs with stochastic disturbances. First, the time-varying log-type BLF is utilized to ensure that all the state variables of PMSM stochastic systems, such as the stator current and rotor speed, will remain in the time-varying constraints. Then, the unknown stochastic nonlinear functions in PMSMs’ stochastic systems are approximated by the fuzzy logic systems (FLSs), and a reduced-order observer is constructed for estimating the angular velocity. In addition, the command filter and error compensation are employed to solve the issue of “explosion of complexity”(EOC) and offset the influence of filtering errors. Finally, it is shown that all the signals in the closed-loop system are bounded. The simulation and experimental studies are given to confirm the effectiveness of the controller.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Command Filtered Fuzzy Adaptive Control for PMSMs With Time-Varying State Constraints and Stochastic Disturbances


    Contributors:
    Zhang, Yu (author) / Wang, Qing-Guo (author) / Liu, Jiapeng (author) / Yu, Jinpeng (author)


    Publication date :

    2024-09-01


    Size :

    1505921 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Command-Filtered Backstepping Redesign for Aerial Manipulators Under Aerodynamic and Operational Disturbances

    R. de Cos, Carlos / Acosta, José Ángel / Ollero, Anibal | Springer Verlag | 2017


    Command Filtered Tracking Control of AMVs

    Guo, Ge / Gao, Zhenyu / Zhang, Pengfei | Springer Verlag | 2021


    Adaptive Control With Filtered State Feedback

    Lavretsky, Eugene | AIAA | 2011