Adaptive fuzzy control for permanent magnet synchronous motors considering input saturation in electric vehicle stochastic drive systems

DOI10.1016/j.jfranklin.2020.04.040zbMath1448.93158OpenAlexW3038410044MaRDI QIDQ2005286

Jinpeng Yu, Shuai Cheng, Lin Zhao, Yu Mei Ma

Publication date: 7 October 2020

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.04.040

zbMATH Keywords

adaptive fuzzy controlelectric vehiclesstochastic nonlinear systemspermanent magnet synchronous motorscommand filtering error

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic stability in control theory (93E15)

Related Items (3)

An explicit-time and explicit-accuracy control for a state-constrained nonstrict-feedback uncertain system based on adaptive fuzzy dynamic-approximation ⋮ An improved event-triggered control method for fuzzy systems under membership functions online learning ⋮ Control design for maximal capability of disturbance rejection under general control input saturation

Cites Work

• A novel disturbance observer-based backstepping controller with command filtered compensation for a MIMO system
• Finite-time command filtered backstepping control for a class of nonlinear systems
• Trajectory tracking control of a 6-DOF quadrotor UAV with input saturation via backstepping
• Global finite-time stabilization for switched stochastic nonlinear systems via output feedback
• Fuzzy-approximation-based adaptive control of the chaotic permanent magnet synchronous motor
• Adaptive fuzzy control for induction motors stochastic nonlinear systems with input saturation based on command filtering
• Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems
• Dynamic surface control for a class of nonlinear systems
• General Stochastic Convergence Theorem and Stochastic Adaptive Output-Feedback Controller
• Adaptive neural tracking control for a class of stochastic nonlinear systems

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