Design and control optimization of linear induction motor drive for efficiency improvement

Publication Type:
Conference Proceeding
Citation:
2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:
2017-10-02
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© 2017 IEEE. Linear induction motor (LIM) drive suffers heavily from low efficiency due to its large air-gap length, the end-effects, and the partial load working conditions. Therefore, an optimization method is proposed in this paper to improve the LIM drive operating efficiency from both design and control levels. First, the genetic algorithm (GA) is applied to design optimization of LIM to attain higher efficiency and power factor. Second, a novel loss model for LIM drive is proposed to analyze both LIM loss and inverter loss. Third, efficiency optimization control (EOC) scheme based on the loss model is put forward to improve the LIM drive working efficiency. Simulations and experimental results validate the effectiveness of the proposed method in efficiency improvement of LIM drive under various operation conditions.
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