Fuzzy Immune PID Control for Drying Process Based on LS algorithm and Genetic Algorithm

摘要：

According to seriously nonlinear,time-varying and strong coupling of the temperature and humidity of drying process,the immune feedback mechanism and fuzzy control theory were applied to designing a fuzzy immune PID controller,and the parameters of PId controller was optimized with hybrid algorithm.First,least square algorithm was used for off-line optimization to form immune feedback control system. Then,genetic algorithm was used for on-line optimization to get the optimal performance parameters of immune PID control system and the optimal fuzzy proportional parameters.Simulation results showed that based on improved genetic optimization,fuzzy immune PID controller has the features of smaller excess of system output,fewer response time,a shorter stabilization time and better controlling efficiency,and the control performance was better than general PID control and classic fuzzy PID control.

关键词： Genetic algorithm Drying process Fuzzy immune control PID control Temperature and humidity

作者: Dequan Zhu Jixian Wang Liancun Qian

作者单位: College of Engineering,Anhui Agricultural University,Hefei 230036,China Institute of Intelligent Mac College of Engineering,Anhui Agricultural University,Hefei 230036,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 234-239

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）