NDLI: Adaptive fuzzy-neural-network control for a DSP-based permanent magnet linear synchronous motor servo drive

Content Provider	IEEE Xplore Digital Library
Author	Faa-Jeng Lin Po-Hung Shen
Copyright Year	1993
Abstract	An adaptive fuzzy neural network (AFNN) control system is proposed to control the position of the mover of a field-oriented control permanent magnet linear synchronous motor (PMLSM) servo-drive system to track periodic reference trajectories in this paper. In the proposed AFNN control system, an FNN with accurate approximation capability is employed to approximate the unknown dynamics of the PMLSM, and a robust compensator is proposed to confront the inevitable approximation errors due to finite number of membership functions and disturbances including the friction force. The adaptive learning algorithm that can learn the parameters of the FNN on line is derived using Lyapunov stability theorem. Moreover, to relax the requirement for the value of lumped uncertainty in the robust compensator, which comprises a minimum approximation error, optimal parameter vectors, higher order terms in Taylor series and friction force, an adaptive lumped uncertainty estimation law is investigated. Furthermore, all the control algorithms are implemented in a TMS320C32 DSP-based control computer. The simulated and experimental results due to periodic reference trajectories show that the dynamic behaviors of the proposed control systems are robust with regard to uncertainties
Sponsorship	IEEE Computational Intelligence Society
Starting Page	481
Ending Page	495
Page Count	15
File Size	1131496
File Format	PDF
ISSN	10636706
Volume Number	14
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Synchronous motors Servomechanisms Control systems Fuzzy neural networks Fuzzy control Uncertainty Robust control Approximation error Taylor series Adaptive lumped uncertainty estimation fuzzy neural network (FNN) permanent magnet linear synchronous motor (PMLSM)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Control and Systems Engineering Computational Theory and Mathematics

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