Barrier Lyapunov Functions-Based Adaptive Neural Control for Permanent Magnet Synchronous Motors With Full-State Constraints
Considering the requirement of high accuracy and nonlinear problems in drive systems, a novel adaptive position tracking control approach based on neural networks is presented for permanent magnet synchronous motors with full-state constraints. The neural networks technique is employed to approximat...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7944554/ |