基于蚁群算法的PID参数优化_段海滨.pdfVIP

37 5 ( ) Vol. 37 No. 5 2004 4 Engineering Journal of Wuhan Uni ersity Oct. 2004 : 1671- 8844( 2004) 05-097-04 PID 1 1 2 3 段海滨, 王道波, 黄向华 , 朱家强 ( 1. , 210016; 2. , 100080; 3. , 100084) : PID , PID . , . , PID , , . , PID , . : ; ; PID; : TP 271; TP 273. 2 :A Research and realization on parameters optimization of PID controller based on ant colony algorithm 1 1 2 3 DUAN Ha-i bin , WANG Dao-bo , HUANG Xiang-hua , ZHU Jia-qiang ( 1. College of Automation Engineering, Nanjing Uni ersity of Aeronautics Astronautics, Nanjing 2 10016, China; 2. Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100080, China; 3. State Key Laboratory of Intelligent Technology and Systems, Tsinghua Uni ersity, Beijing 100084, China) Abstract : In light of traditional PID controller parameters optimization with manual cut-and-try method, a no el kind of PID parameters optimization strategy based on ACA(Ant Colony Algorithm) was proposed. ACA is a new category of bionic algorithm for optimization problems. Parallel computation mechanism is adopted in this algorithm. On the basis of brief introduction of ACA, a method for setting PID controller parameters using ACA was deri ed. A detailed realiz- ing process of the new algorithm was also presented. In the end, this new PID parameters optimization scheme was ap- plied to some high precision flight simulation ser o system. The simulation results show that the ACA based PID pa- rameters optimization has excellent flexibility,