Adaptive Fuzzy Tracking Control for a Permanent Magnet Synchronous Motor via Backstepping Approach
Author(s) -
Jinpeng Yu,
Junwei Gao,
Yumei Ma,
Haisheng Yu
Publication year - 2009
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2010/391846
Subject(s) - control theory (sociology) , backstepping , tracking error , fuzzy logic , torque , controller (irrigation) , tracking (education) , computer science , permanent magnet synchronous generator , convergence (economics) , control engineering , adaptive control , engineering , control (management) , magnet , artificial intelligence , physics , psychology , pedagogy , biology , economic growth , agronomy , economics , thermodynamics , mechanical engineering
The speed tracking control problem of permanent magnet synchronous motorswith parameter uncertainties and load torque disturbance is addressed. Fuzzylogic systems are used to approximate nonlinearities, and an adaptivebackstepping technique is employed to construct controllers. The proposedcontroller guarantees the tracking error convergence to a small neighborhood ofthe origin and achieves the good tracking performance. Simulation resultsclearly show that the proposed control scheme can track the positionreference signal generated by a reference model successfully under parameteruncertainties and load torque disturbance without singularity andoverparameterization
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