NDLI: Adaptive inverse control of linear motor based on ANFIS

Content Provider	IEEE Xplore Digital Library
Author	Cai Tao Huo Ruicai Pan Feng
Copyright Year	2010
Description	Author affiliation: School of Automation, Beijing Institute of Technology, 100081, China (Cai Tao; Huo Ruicai; Pan Feng)
Abstract	The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.
Starting Page	2182
Ending Page	2186
File Size	154162
Page Count	5
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Adaptive systems Torque Firing Friction Adaptation model Linear Motor Nonlinear dynamical systems ANFIS Mathematical model Inverse Control Open-loop Control
Content Type	Text
Resource Type	Article

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