Minimum Switching Loss Control of Inverter Based on Immune Genetic Algorithm
Control of inverter law is one of the most focused researches at present. To find out the optimum control law, Immune Genetic Algorithm (IGA) is presented in this paper. The IGA not only maintains the merits of the Genetic Algorithm (GA), but also makes full use of character of the objects to optimize the evolution process. In this way the IGA can obtain its accuracy, efficiency and speediness. And the operation procedures of IGA were put forward. Penalty function is improved in this paper. Switching loss equation and affinity equation are used to create fitness function. IGA can quickly converged to the best solution, and the solutions fitness made great improvement compared with the traditional control strategies. The dynamic experimental platform based on DSP is built and adequate experiments are carried out. The feasibility and validity of IGA are proved by the experiments.
Immune Genetic Algorithm Inverter Switching loss
Jiaxin Yuan Baichao Chen
school of electrical engineering Wuhan University, Wuhan, Hubei 430072, China Wuhan University, Wuhan, Hubei 430072, China
国际会议
武汉
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）