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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(2): 141-146 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.100

Adaptive Fuzzy Logic Compensator for Permanent Magnet Synchronous Motor Torque Control System

Pewmaikam C., Srisertpol J. and Khajorntraidet C.

Abstract—A torque control system of Permanent Magnet Synchronous Motor (PMSM) is an important process in industries, especially in the hard disk drive assembly processes. For example, the automatic screw machine is one of important machines in the hard disk drive assembly processes. The PMSM is a fundamental component of the automatic screw machine. The feedback torque control system use estimated torque received from motor current. The disturbance torque caused by the screw process depends on the quality of the screw heads and screw holes. The automatic screw machine requires precise output torque because the error of output torque affects the automatic screw machine performance. The damage in the hard disk drive assembly process may result from an inaccurate output torque. For instance, the defect of product is broken threads of the screws and the out of length of the screw heads. When the control process requires precision output torque, the machines must be calibrated by operator with standard value consumed 20-30 minutes per machine. This paper presents a torque control system with an adaptive fuzzy logic compensator for torque control and torque estimation simultaneously. The method of the research can increase the efficiency of torque control system and decrease the calibration time of the automatic screw machines.

Index Terms—Permanent magnet synchronous motor, control theory, observer and adaptive fuzzy logic compensator.

The authors are with the school of mechanical engineering, Institute of engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand, 30000 (e-mail: chalermpon_tle@hotmail.com; jiraphon@sut.ac.th; chanyut_k@hotmail.com).


Cite: Pewmaikam C., Srisertpol J. and Khajorntraidet C., "Adaptive Fuzzy Logic Compensator for Permanent Magnet Synchronous Motor Torque Control System," International Journal of Modeling and Optimization vol. 2, no. 2, pp. 141-146, 2012.

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