FPGA‐based adaptive dynamic sliding‐mode neural control for a brushless DC motor

DOI10.1002/asjc.272zbMath1263.93122OpenAlexW1972852663MaRDI QIDQ4920545

Kai-Lin Peng, Chun-Fei Hsu, Jang-Zern Tsai, Chien-Jung Chiu

Publication date: 21 May 2013

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.272

zbMATH Keywords

adaptive controlsliding-mode controlneural controlBLDC motor

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Variable structure systems (93B12)

Related Items (4)

Fractional Order Controller Design for A Flexible Link Manipulator Robot ⋮ A Quasi-Sliding Mode Observer-based Controller for PMSM Drives ⋮ Linear Model‐based Feedforward Control for Improving Tracking‐performance of Linear Motors ⋮ Output Feedback Adaptive Neural Control Without Seeking SPR Condition

Cites Work

• Unnamed Item
• Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors
• Robustness design of time-delay fuzzy systems using fuzzy Lyapunov method

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