The welding power supplies group control system based on T-S model and ANFIS

摘要：

A group control system of welding power supplies with the combination of fuzzy theory and neural networks is proposed in the paper. The membership function of state variables, inference rules in the system, algorithms for fuzzy inference and defuzzication, etc. Are analyzed and devised subsequently. Based on those, adaptive neuro-fuzzy inference system (ANFIS) with Tagaki-Sugeno model is achieved. Finally the completed ANFIS is simulated using Simulink toolbox in Matlab, which is used in Membrane-water-wall welding machine for experimentation. The result shows that the design has the advantage of less regulating time (shortened by 22％) and less overshoot (reduced by 40％), and the better dynamic performance is obtained.

关键词： ANFIS Welding power supply Group control Tagaki-Sugeno model Simulate

作者: Zhangfeng Zhao Jian Feng Xian Zhang Yangyu Wang

作者单位: The MOE Key Laboratory of Mechanical manufacture and Automation Zhejiang University of Technology Hangzhou, Zhejiang Province, China Northwestern Polytechnical University Xian, Shaanxi Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）