JCP 2013 Vol.8(4): 884-887 ISSN: 1796-203X
doi: 10.4304/jcp.8.4.884-887
doi: 10.4304/jcp.8.4.884-887
Efficiency Optimization of Asynchronism Motor Based on a Novel Reaching Law
Jing-li Miao and Yuan Huang
School of Information & Electric Engineering, Hebei University of Engineering, Handan, China
Abstract—To satisfy with the high-power control of the asynchronism motor control drive system, this paper devised a novel reaching law of sliding mode variable structure control strategy and analysed this control strategy for vector control system of asynchronism motor and the high-frequency chattering phenomenon in traditional sliding mode controllers. The simulation results demonstrate that the control strategy can ensure rapid dynamic speed response during the efficiency optimization at low loads and decrease chattering phenomenon effectively, greatly improve the robustness of asynchronism motor and improve control quality.
Index Terms—asynchronism motor, sliding mode variable structure, chattering, efficiency optimization
Abstract—To satisfy with the high-power control of the asynchronism motor control drive system, this paper devised a novel reaching law of sliding mode variable structure control strategy and analysed this control strategy for vector control system of asynchronism motor and the high-frequency chattering phenomenon in traditional sliding mode controllers. The simulation results demonstrate that the control strategy can ensure rapid dynamic speed response during the efficiency optimization at low loads and decrease chattering phenomenon effectively, greatly improve the robustness of asynchronism motor and improve control quality.
Index Terms—asynchronism motor, sliding mode variable structure, chattering, efficiency optimization
Cite: Jing-li Miao and Yuan Huang, " Efficiency Optimization of Asynchronism Motor Based on a Novel Reaching Law," Journal of Computers vol. 8, no. 4, pp. 884-887, 2013.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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