Predictive Functional Control Based on Differential Evolution Algorithm and its Dynamic Performance Analysis

摘要：

An optimization method of predictive function control (PFC) parameters that based on modified differential evolution (DE) is provided. Differential evolution is a new evolutionary computation technology and exhibits good performance on optimization.Differential evolution algorithm as a relatively new evolutionary computation technique has a good optimization. Therefore,the modified differential evolution which is proposed to solve the optimization problems.The new algorithm uses initialization and the scale factor and crossover probability to improve PFC control performance in terms of model mismatch and parameters optimization. Simulation results show that the performance of the optimized DE PFC controller is superior to that of the conventional PFC controller.

关键词： differential evolution algorithm PFC scale factor crossover probability

作者: Ma xiao-ping Li ya-peng Su pi-zhao

作者单位: China University of Mining and TechnologySchool of Information and Electrical EngineeringXuzhou221008

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 65-68

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）