Control Strategy and Ezperimental Research on Girder Hoister Steering System Based on RBF Neural Network PID
n order to meet the needs of construction of highspeed railway passenger dedicated line, 900t rubbertyred girder hoister is researched and manufactured. steering system of the hoister is controlled by electro-hydraulic proportional displacement control system, and segment-PID control strategy with dead zoon is used. However with the passage of time, steering performance of girder hoister begin to get worse and worse. Then, valve control cylinder model, equilibrium equation of the steering actuator and system model is built up. Through analyzing and referring advantage of the neural network, one kind of steering control strategy based on RBF neural network PID is presented. Based on similarity principle, this control strategy is used in the steering system of 100t ship yard transporter. The experiment has been lasted 3 months, and the result shows that the system settling time reduced by 5%, over shoot doesn t change, and performance doesn t get worse. Validity of the control strategy is validated.
girder hoister steering system RBF neural network segment-PID valve control cylinder ezperimental research.
Bingyu Sun Jingyi Zhao Zhiyong Wang Chengyu Yao rui Guo
Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control,Yanshan University,Qinh Qinhuangdao Tianye Tolian Heavy Industry co.,ltd,Qinhuangdao 066100,China Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao,
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
2338-2342
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）