NDLI: Adaptive Backstepping Control for SynRel Motor Drive Using FNN Uncertainty Observer

Content Provider	IEEE Xplore Digital Library
Author	Chih-Hong Lin An-Cheng Chen
Copyright Year	2007
Description	Author affiliation: Nat. United Univ., Miao Li (Chih-Hong Lin; An-Cheng Chen)
Abstract	An adaptive backstepping control using fuzzy neural network (FNN) uncertainty observer is proposed to control the rotor position of a synchronous reluctance (SynRel) motor drive in this paper. First, the field-oriented mechanism is applied to formulate the dynamic equation of the SynRel motor servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control system. With the proposed adaptive backstepping control system, the rotor position of the SynRel motor drive possesses the advantages of good transient control performance and robustness to uncertainties for the tracking of periodic reference trajectories. Moreover, to further increase the robustness of the SynRel motor drive, a FNN uncertainty observer is proposed to estimate the required lumped uncertainty in the adaptive backstepping control system. In addition, an on-line parameter training methodology, which is derived using the gradient descent method, is proposed to increase the learning capability of the FNN. The effectiveness of the proposed control scheme is verified by experimental results.
Starting Page	433
Ending Page	438
File Size	874005
Page Count	6
File Format	PDF
ISBN	1424407834
ISSN	1553572X
DOI	10.1109/IECON.2007.4459914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-05
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Backstepping Motor drives Fuzzy control Uncertainty Fuzzy neural networks Control systems Rotors Adaptive systems fuzzy neural network synchronous reluctance motor backstepping control
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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