Abstract
Nonlinear factors cause great influence to brushless DC motor (BLDCM) servo control system. One common result is that servo system can not respond rapidly when the direction of reference signal changes which is a serious problem to high speed aircraft. In this paper, a simple nonlinear identification method based on sliding mode variable structure algorithm is proposed to identify those nonlinear factors, and a novel fitting model modified from LuGre model is presented aiming to be utilized in control algorithm to compensate identified nonlinear factors. Simulation results show that the control precision can be improved significantly by the proposed method.
This work was supported by National Science Foundation of China under Grant No.61074010.
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Bao, D., Huo, W. (2011). High Precision BLDCM Servo Control with Nonlinear Identification. In: Yang, D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25992-0_102
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DOI: https://doi.org/10.1007/978-3-642-25992-0_102
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