NDLI: Robust Petri Fuzzy-Neural-Network Control for Linear Induction Motor Drive

Content Provider	IEEE Xplore Digital Library
Author	Rong-Jong Wai Chia-Chin Chu
Copyright Year	1982
Abstract	This study focuses on the development of a robust Petri-fuzzy-neural-network (PFNN) control strategy applied to a linear induction motor (LIM) drive for periodic motion. Based on the concept of the nonlinear state feedback theory, a feedback linearization control (FLC) system is first adopted in order to decouple the thrust force and the flux amplitude of the LIM. However, particular system information is required in the FLC system so that the corresponding control performance is influenced seriously by system uncertainties. Hence, to increase the robustness of the LIM drive for high-performance applications, a robust PFNN control system is investigated based on the model-free control design to retain the decoupled control characteristic of the FLC system. The adaptive tuning algorithms for network parameters are derived in the sense of the Lyapunov stability theorem, such that the stability of the control system can be guaranteed under the occurrence of system uncertainties. The effectiveness of the proposed control scheme is verified by both numerical simulations and experimental results, and the salient merits are indicated in comparison with the FLC system
Sponsorship	IEEE Industrial Electronics Society
Starting Page	177
Ending Page	189
Page Count	13
File Size	1333946
File Format	PDF
ISSN	02780046
Volume Number	54
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Induction motor drives Control systems State feedback Force feedback Uncertainty Motion control Induction motors Linear feedback control systems Force control Petri net (PN) Decoupled control feedback linearization fuzzy neural network (FNN) linear induction motor (LIM) Lyapunov stability theorem
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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