Improved Chaos-GA-PID Control in Digital Invert Power Supply

摘要：

For multi-parameter coupling nonlinear welding process,both chaos theory and genetic algorithm are used to achieve optimal matching of PID parameters,and the way to apply the algorithm for the welding machine is presented in this paper. First,requirements of invert welding machine control are analyzed. Encoding and decoding methods and fitness function are designed to form improved genetic algorithm. Then,chaos mechanism is researched to overcome randomness and avoid shortcomings of improved GA,such as local minimum value and prematurity. From the simulation experiments,it is shown that the improved chaos genetic algorithm is better than ANN-PID,fuzzy-PID and so on,has faster convergence speed and higher steady state accuracy,and can realize accurate regulation of welding current adoptively.

关键词： digital invert welding machine genetic algorithm chaos theory PID control.

作者: Duan Bin Sun Tongjing Li Zhenhua Mei Gaoqing Zhang Guangxian

作者单位: Department of Control Science and Engineering,University of Shandong Jingshi road 73,250061,Jinan,Shandong Province,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1392-1395

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）