TY - GEN
T1 - Active-disturbance rejection control of brushless DC motor based on BP neural network
AU - Liu, Zhi
AU - Guo, Hong
AU - Wang, Dayu
AU - Wu, Zhiyong
AU - Xu, Jinquan
PY - 2010
Y1 - 2010
N2 - Brushless DC motor speed servo system is multivariable, nonlinear and strong coupling. Its performance is easily influenced by the parameter variation, the cogging torque and the load disturbance. To solve the deficiency, the paper represents the algorithm of active-disturbance rejection control (ADRC) based on back-propagation (BP) neural network. The ADRC is independent of accurate system and its extended-state observer can estimate the disturbance of the system accurately. However, the parameters of Nonlinear Feedback (NF) in ADRC are difficult to obtain. In this paper, these parameters are self-turned by the BP neural network. The simulation results indicate that the ADRC based on BP neural network can improve the performances of the servo system in rapidity, control accuracy, adaptability and robustness.
AB - Brushless DC motor speed servo system is multivariable, nonlinear and strong coupling. Its performance is easily influenced by the parameter variation, the cogging torque and the load disturbance. To solve the deficiency, the paper represents the algorithm of active-disturbance rejection control (ADRC) based on back-propagation (BP) neural network. The ADRC is independent of accurate system and its extended-state observer can estimate the disturbance of the system accurately. However, the parameters of Nonlinear Feedback (NF) in ADRC are difficult to obtain. In this paper, these parameters are self-turned by the BP neural network. The simulation results indicate that the ADRC based on BP neural network can improve the performances of the servo system in rapidity, control accuracy, adaptability and robustness.
KW - ADRC (active-disturbance rejection control)
KW - BP (back propagation algorithms)
KW - Brushless DC motor (BLDCM)
KW - Parameters self-turning
UR - https://www.scopus.com/pages/publications/79952217678
U2 - 10.1109/iCECE.2010.794
DO - 10.1109/iCECE.2010.794
M3 - 会议稿件
AN - SCOPUS:79952217678
SN - 9780769540313
T3 - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
SP - 3253
EP - 3256
BT - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
T2 - International Conference on Electrical and Control Engineering, ICECE 2010
Y2 - 26 June 2010 through 28 June 2010
ER -