Nonlinear Fuzzy Supervisory Predictive Control Based on Genetic Algorithm

摘要：

　　Fuzzy supervisory predictive control based on genetic algorithm optimization is proposed.For the nonlinear model,through a general objective function dynamically optimized to determine the optimal set-point for a given regulatory level,by using genetic algorithm in order to solve the nonlinear optimization problem for the setpoint,and compared with the supervisory predictive control based on linear model and nonlinear model.Simulation results show the proposed algorithm has better control performance.

关键词： supervisory predictive control nonlinear fuzzy model genetic algorithm

作者: LI Suzhen LIU Xiangjie YUAN Gang

作者单位: Department of Control and Computer Engineering,North China Electric Power University,Beijing 102206 Sany Heavy Industry,ZhongXing Hydraulic Parts Co.Ltd,loudi 417009,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2050-2055

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）