volume | PIER Journals

Abstract

A deadbeat control method based on an improved parameter identification algorithm is proposed to improve the control accuracy and rapidity of permanent magnet synchronous motorized spindle (PMSMS). Firstly, based on the mathematical model of PMSMS and Euler discretization formula, the current prediction equation is established. Secondly, the deadbeat control logic is described; the deadbeat control model is established; and the influence of parameters on the system stability is analyzed. Thirdly, in order to improve the parameter robustness of deadbeat control, an improved adaptive parameter identification algorithm is proposed, which combines the least mean square algorithm and the recursive least square algorithm. Based on the voltage equation, the inductance and flux linkage parameters are identified, and then a more accurate parameter identification effect is achieved. Finally, the proposed algorithm is verified by experiments on the experimental platform. Experimental results show that the proposed algorithm has better control accuracy, faster response speed and stronger stability than vector control method and traditional deadbeat control method.

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Dr. Dazuo Zhou

Dr. Xin Wang