Application of BP Neural Network State Observer in Servo Control System
This paper presents design of BP neural network state observer for servo control system. Some signals of servo control system, such as displacement signal, speed signal and acceleration signal, will be fed back to controller of system by sensors. Then its price will increase. Based on the mathematic model of system, state observer could construct the states of system in order to reduce the number of sensors in the system. BP neural network state observer is the integration which achieves the function of state observer using BP neural network. This approach not only improves the control accuracy but also enhances the adaptability of system. There is an example in this paper to demonstrate that BP neural network state observer is reasonable and feasible.
servo control system BP neural network state observer simulation
WANG Yanping MENG Yanhua CHEN Guofang
College of Electrical engineering, Henan University of Technology Department of Science and technology, Henan University of Technology, zhengzhou, 450007
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
2694-2697
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）