New Energy-saving Control of Induction Motor Considering Core Loss

Abstract

Abstract: In order to further improve the running efficiency of induction motor, a new energy-saving control method was proposed. Considering the influence of varied flux, a control strategy coordinating the optimal flux with the optimal slip angular frequency based on the slip angular frequency control was built. The mathematical model of induction motor considering core loss was established. The expression of the optimal flux and slip angular frequency was obtained according to the Lagrange multiplier method when system was the highest efficiency. By using MATLAB simulation platform, a simulation model of the energy saving control system was built doing a research. The results show that this control strategy can not only improve the energy-saving effect, but also improve the dynamic performance of induction motor. So the control method is correct and feasible.

Key words: energy-saving control, induction motor, optimal flux, optimal slip angular frequency, MATLAB simulation

CLC Number:

TP391.9

Wang Bulai, Wei Biao, Zhang Fan, Huang Zhenzhen, Zhang Yunfei. New Energy-saving Control of Induction Motor Considering Core Loss[J]. Journal of System Simulation, 2016, 28(2): 455-461.

References 11

[1]	M Madrigal,M Bhatia,G Elizondo et al. Surmounting the global challenges of energy for all and greener, more efficient electricity services[J]. Power & Energy Magazine IEEE (S1540-7977), 2012, 10(3): 20-29.
[2]	CT Raj,SP Srivastava,A Pramod. Particle Swarm and Fuzzy Logic Based Optimal Energy Control of Induction Motor for a Mine Hoist Load Diagram[J].I aeng International Journal of Computer Science(S1819-9224), 2009, 36(1): 17-25.
[3]	朱福成. 空间矢量SVPWM控制算法在变频空调中的应用[J]. 兵工自动化, 2011, 30(3): 64-68.
[4]	莫红苹, 钟彦儒. 基于铜损等于铁损的异步电动机最佳效率控制[J]. 西安理工大学学报, 2002, 18(2): 167-170.
[5]	李阳, 张曾科, 常进. 基于转差率的感应电机最优效率控制[J]. 电机与控制学报, 2005, 9(3): 215-217.
[6]	陈雪琴. 基于最优转差角频率的异步电动机节能研究[D]. 上海: 上海海事大学, 2014.
[7]	王步来, 陈雪琴, 季文彪, 等.一种异步电机的节能控制方法: 中国ZL201210013071.5 [P].2014-04-28.
[8]	E Hussein, P Mutschler. Optimal Flux Loss Model based Speed Sensorless Control of Induction Motor [C]// Iet International Conference on Power Electronics,April2010: 1-9, Brighton, UK,10.1049/cp.2010.0005 10.1049 , IET.
[9]	H Ouadi, F Giri, A Efadili, et al. Induction machine speed control with flux optimization[J]. Control Engineering Practice (S0967-0661), 2010, 18(18): 55-66.
[10]	Duy C Huynh.Energy Efficient Control of an Induction Machine using a Chaos Particle Swarm Optimization Algorithm[C]// IEEE Conference on Power and Energy, Nov. 29, 2010, Dec 1st 2010. USA: IEEE, 2010: 450-455.
[11]	B Zahedi, S Vaez-Zadeh.Efficiency Optimization Control of Single-Phase Induction Motor Drives[J]. IEEE Trans. Energy conversion(S0885-8993), 2009, 24(4): 1062-1071.

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