基于逐层预测模型的感应电机效率优化滑模控制

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Abstract Lessening the given rotor flux can improve the efficiency of induction motors control system at light load. As the rotor flux is affected by variable parameters of induction motor, it is a critical problem to obtain the appropriate given rotor flux in different operating conditions for efficiency optimization of induction motor. In order to improve the predictive accuracy of rotor flux, a novel pattern based on binary tree hierarchical layer-to-layer prediction model is proposed and it reduces prediction range of each network and uses more networks for degree elevation. This model gives suitable rotor flux to fulfill optimal efficiency in complex operation condition. Furthermore, a novel reaching law of sliding mode variable structure control strategy is proposed to meet the requirement of rapidity during efficiency optimization. Simulation and experiment verify good effectiveness of the proposed approach.

Key words： Induction motor efficiency layer-to-layer prediction neural network sliding mode control

Received: 19 June 2012 Published: 17 June 2014

PACS:

TM301.2

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	Miao Jingli
	Huang Yuan

Cite this article:

Miao Jingli,Huang Yuan. Sliding Mode Control of Efficiency Optimization of Induction Motors Based on Layer-to-Layer Prediction Model[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 206-212.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I3/206

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