Adaptive sliding mode control of chaos in permanent magnet synchronous motor via fuzzy neural networks

DOI10.1155/2014/868415zbMath1407.93173OpenAlexW2048601044WikidataQ59070261 ScholiaQ59070261MaRDI QIDQ1719277

Teh-Lu Liao, Jun-Juh Yan, Tat-Bao-Thien Nguyen

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/868415

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Chaos control for problems involving ordinary differential equations (34H10)

Related Items (5)

Improved adaptive sliding mode control for a class of uncertain nonlinear systems subjected to input nonlinearity via fuzzy neural networks ⋮ Control of chaos in an induction motor system with LMI predictive control and experimental circuit validation ⋮ Super-twisting-algorithm-based terminal sliding mode control for a bioreactor system ⋮ Adaptive robust backstepping control of permanent magnet synchronous motor chaotic system with fully unknown parameters and external disturbances ⋮ Adaptive chaos synchronization control of nonlinear PMSM system using extended state observer

Cites Work

• Synchronization of permanent magnet electric motors: new nonlinear advanced results
• The hybrid RFNN control for a PMSM drive electric scooter using rotor flux estimator
• Controlling chaos in permanent magnet synchronous motor control system via fuzzy guaranteed cost controller
• The design of quasi-sliding mode control for a permanent magnet synchronous motor with unmatched uncertainties
• Nonlinear chaos control in a permanent magnet reluctance machine
• Adaptive control of a chaotic permanent magnet synchronous motor
• Optimal exponential synchronization of chaotic systems with multiple time delays via fuzzy control
• Finite-time stability analysis and control for a class of stochastic singular biological economic systems based on T-S fuzzy model
• Adaptive tracking control for an uncertain chaotic permanent magnet synchronous motor based on fuzzy neural networks

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