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| In-situ Efficiency Measurement of Induction Motor Based on MOEAs |
| SUN Guan-qun1,NIU Zhi-jun2,CAI Hui1,WANG Bin-rui1 |
1. College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China;
2. Yongji Xinshisu Electric Equipment Co Ltd, CNR Group Corporation, Yongji, Shanxi 044502, China |
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Abstract A method based on multi-objective evolutionary algorithms (MOEAs ) for real-time and in-situ efficiency determination of induction motor is introduced. The multi-objective algorithm is optimized, and it introduces a low-intrusive level method based on non-dominated sorting genetic algorithm-II( NSGA-II ) and strengths Pareto evolutionary algorithm2( SPEA2) for efficiency estimation of the induction motor. Therefore, the equivalent circuit method, and the segregated losses method combine with MOEAs. Through the practice of a 5.5 kW motor, it shows that, the method on the estimation of induction motor efficiency is effective, and in the normal range of the load, the estimating value and the actual value of test error is less than 3%. And compared to each other, it is found that NSGA-Ⅱresults are slightly superior to that of the SPEA2.
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2015, Vol. 36 
