volume | PIER Journals

Abstract

The unbalanced rotor mass of permanent magnet assisted bearingless synchronous reluctance motor (PMa-BSynRM) will cause rotor vibration at the same frequency, which has a great influence on its operating performance at high speed. To solve this problem, a control method of unbalance vibration suppression based on variable step size and variable angle search algorithm is proposed in this paper. Firstly, the causes of rotor vibration are analyzed, and the equations of motion of the rotor in the vibratory state are derived. Secondly, the improved Sigmoid function is used to change the step size and angle of the search algorithm, and a fuzzy inference machine is used to adjust the Sigmoid function weights. The vibration suppression control system is constructed, and vibration suppression simulation is performed. The vibration suppression control of the PMa-BSynRM is realized. Finally, the PMa-BSynRM experimental platform is established, and vibration suppression experiments are carried out under the conditions of equal speed and external interference. Experimental results show that the control algorithm can effectively suppress rotor vibration. The unbalanced vibration suppression control proposed in this paper can achieve stable levitation operation of the PMa-BSynRM.

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Ms. Jing Lu

Mr. Tengfei Zhao

Prof. Huangqiu Zhu