NDLI: Sliding mode control based on neural network for giant magnetostrictive smart component

Content Provider	IEEE Xplore Digital Library
Author	Xiao Mei Sui Zhang Rong Zhao
Copyright Year	2010
Description	Author affiliation: Department of electric information, North china Institute of science & technology, Beijing, China (Xiao Mei Sui; Zhang Rong Zhao)
Abstract	A new method for precise machining non-cylinder pin hole of piston by using giant magnetostrictive smart component is presented. To eliminate the impact of GMM smart component hysteresis and nonlinearity, a real-time hysteretic compensation control strategy combining a CMAC neural network feed forward controller and a sliding mode controller is proposed to implement the precision position tracking control of the smart component. The input data of CMAC neural network are the current smart component output and the output rate, the output of neural network is smart component input. The inverse hysteresis model of GMM smart component is achieved by CMAC network on-line learning. The model approximate error of CMAC neural network and the external disturbance is eliminated by using discrete sliding mode controller. Simulation results show that this control strategy can on-line obtain inverse hysteresis model of the smart component, eliminate the hysteretic nonlinear impact and achieve the precision control of the smart component.
Starting Page	661
Ending Page	663
File Size	792357
Page Count	3
File Format	PDF
ISBN	9781424464371
e-ISBN	9781424464401
DOI	10.1109/BICTA.2010.5645203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CMAC neural network Switches sliding mode variable structure control feed forward compensation Position measurement hysteresis nonlinearity giant magnetostrictive smart component Stability analysis Hysteresis
Content Type	Text
Resource Type	Article

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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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