Application of Improved Fuzzy Immune PID Controller to Bending Control System  

作　　者：REN Xin-yi DU Feng-shan HUANG Hua-gui ZHANG Shang-bin 

机构地区：[1]Institute of Mechanical Engineering,Yanshan University,Qinhuangdao 066004,Hebei,China

出　　处：《Journal of Iron and Steel Research International》2011年第3期28-33,共6页

基　　金：Item Sponsored by National Natural Science Foundation of China(50534020);National Key Technology Research and Development Program in 11th Five-Year Plan of China(2007BAF02B12)

摘　　要：Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put forward.Drawing on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller.The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller.In order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm.The simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and robustness.The quality of the strip shape can be further improved.Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put forward.Drawing on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller.The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller.In order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm.The simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and robustness.The quality of the strip shape can be further improved.

关 键 词：electrohydraulic bending system immune feedback control fuzzy control PSO algorithm strip shape 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]