Double Closed-Loop Controller Design of Brushless DC Torque Motor Based on RBF Neural Network


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For the problem of that the traditional brushless DC torque motor controller position servo system is difficult to track accurately the complex and varied location information, an improved double closed-loop controller is designed in this paper. A self-adaptive PID algorithm based on RBF neural network is employed to design position loop controller and a feed-forward control algorithm is used in the speed loop controller. The improved double closed-loop controller validated the feasibility of the new method for the design of brushless DC torque motor position servo system



Advanced Materials Research (Volumes 503-504)

Edited by:

Wen-Pei Sung, Jimmy Chih-Ming Kao and Ran Chen




D. H. Li et al., "Double Closed-Loop Controller Design of Brushless DC Torque Motor Based on RBF Neural Network", Advanced Materials Research, Vols. 503-504, pp. 1351-1356, 2012

Online since:

April 2012




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