会议专题

Design of Cloud Model Controller Based on Multi-objective Optimization

In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then a fast non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize its output parameters kup, kui, kud and characteristic parameters Ex, En, He. In the subsequent stage, the decision-maker can choose the satisfactory solution from the Pareto optimal solution set according to actual needs. The validity and superiority of the proposed method are supported by simulation results.

cloud model cloud controller multi-objective optimization

Junlin Chang Wei Zhang Jing Zhang Wei Wei

School of Information and Electrical Engineering, China University of Mining and Technology School of Information and Electrical Engineering,China University of Mining and Technology Unit 73101, Chinese Peoples Liberation Army

国际会议

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

四川绵阳

英文

19-24

2011-05-23(万方平台首次上网日期,不代表论文的发表时间)