Immune Algorithms Based Approach for Inverter Control
In this paper a new control law of inverters based on immune algorithms (IA) is presented. Because the control law is based on float-coded immune algorithms, it overcomes the disadvantages of binary-coded genetic algorithm (GA), effectively adopts float-coded manner to make the work simple and quick and improves the speed and precision of the algorithm. Through computer simulation the result shows that the immune algorithms are effective to the inverter control.
immune algorithm multiple objective optimizations inverter optimization control
Zhao Min Xu Xiangzheng
East China Jiao Tong University,Nanchang 330013 Chian
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)