An RBFNN-based direct inverse controller for PMSM with disturbances

DOI10.1155/2018/4034320zbMath1398.93180OpenAlexW2807961356MaRDI QIDQ1785182

G. Richomme

Publication date: 28 September 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/4034320

zbMATH Keywords

Lyapunov stability analysissystem uncertaintiesdirect inverse control methodradial basis function neural network (RBFNN) controller

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems with incomplete information (93C41) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (1)

A novel model-free intelligent proportional-integral supertwisting nonlinear fractional-order sliding mode control of PMSM speed regulation system

Cites Work

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• High-Gain Observers in Feedback Control: Application to Permanent Magnet Synchronous Motors
• Robust adaptive backstepping control for a class of uncertain nonlinear systems based on disturbance observers

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