FRACTIONAL ORDER CONTROLLER BASED FUZZY CONTROL ALGORITHM FOR SWITCHED RELUCTANCE MOTOR

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

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Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 2 (June 2016) > List of articles

FRACTIONAL ORDER CONTROLLER BASED FUZZY CONTROL ALGORITHM FOR SWITCHED RELUCTANCE MOTOR

Yang Congkun * / Chen Chaobo / Fu Yongsheng

Keywords : fuzzy control, fractional order PID, switched reluctance motor, s peed control.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 2, Pages 864-883, DOI: https://doi.org/10.21307/ijssis-2017-899

License : (CC BY-NC-ND 4.0)

Received Date : 27-December-2015 / Accepted: 29-March-2016 / Published Online: 01-June-2016

ARTICLE

ABSTRACT

The doubly salient mechanical structure and switching characteristics of switched reluctance
motor (SRM) led to torque ripple, low dynamic performance and other problems when using
conventional control algorithm in speed control method. In view of the fractional PID control
algorithm has strong robustness and advantage of fuzzy control, and it does not depend on the precise
mathematical model, the paper proposed a control algorithm based on fuzzy fractional order PID
torque control algorithm. On the basis of fuzzy rules, using this control algorithm to adaptive SRM
torque control, and using speed deviation and deviation changing rate as its input, the SRM turn torque
ripple is smaller by changing proportional coefficient, integral order and differential order of the fuzzy
inference adaptive fractional order PID controller. The simulation results indicate that the control
algorithm is feasible, torque ripple of switched reluctance motor is smaller, dynamic response is better.

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