Adaptive fuzzy tracking control design for permanent magnet synchronous motors with output constraint
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Publication:2407805
DOI10.1007/s11071-016-3043-3zbMath1371.93143OpenAlexW2507166719MaRDI QIDQ2407805
Publication date: 6 October 2017
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-016-3043-3
backstepping designadaptive fuzzy controlfuzzy logic systembarrier Lyapunov function (BLF)permanent magnet synchronous motors (PMSM) system
Fuzzy control/observation systems (93C42) Application models in control theory (93C95) Lyapunov and storage functions (93D30) Adaptive control/observation systems (93C40)
Related Items (10)
Finite-time adaptive fuzzy asymptotic tracking control for PMSMs with full-state constraints ⋮ Adaptive control for non-affine nonlinear systems with input saturation and output dead zone ⋮ Command filtering-based adaptive fuzzy control for permanent magnet synchronous motors with full-state constraints ⋮ Barrier Lyapunov functions-based fixed-time stabilization of nonholonomic systems with unmatched uncertainties and time-varying output constraints ⋮ Adaptive dynamic surface neural network control for nonstrict-feedback uncertain nonlinear systems with constraints ⋮ Global position tracking control of PMSM servo system via internal model approach and experimental validations ⋮ Adaptive neural network-based visual servoing control for manipulator with unknown output nonlinearities ⋮ Adaptive neural network finite-time command filtered tracking control of fractional-order permanent magnet synchronous motor with input saturation ⋮ Robust synchronization of chaotic systems with novel fuzzy rule-based controllers ⋮ Dynamic output-feedback control for singular T-S fuzzy systems using fuzzy Lyapunov functions
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