首页|Study on Improved Neural Network PID Control for Coal Mining Power Grid Arc Suppression Coil Compensating System
Study on Improved Neural Network PID Control for Coal Mining Power Grid Arc Suppression Coil Compensating System
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NETL
NSTL
Trans Tech Publications Ltd
The paper analyzed arc suppression coil with magnetic bias compensating system with linear system rules. The nonlinear and time-variable performances are considered during model building process. In order to optimize control effect, the paper adopted improved BP neural network PID controller with closed loop control method. Improve BP neural network with the combination of the two strategies, adding momentum method and adaptive learning rate adjustment, can not only effectively suppress the network appearing local minimum but also good to shorten learning time and improve stability of the network furthermore. The results of simulation and experiments indicate that arc suppression coil based on improved neural network with PID control method can quickly and accurately control the compensating capacitive current to an expected value and it has strong robustness. The paper also provided core controller with software and hardware designing scheme based on STM32 microcontroller.
arc suppression coil compensating systemimproved BP neural networkPID control
C.Y. Ma、C.L. Wang、J.H. Liu、X.B. Li、R. Liang
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School of information and electrical engineering, China University of mining and technology, Xuzhou, Jiangsu Province, China, 221008
NETL
NSTL
Trans Tech Publications Ltd
