A NEW PARTICLE SWARM OPTIMIZATION BASED AUTO-TUNING OF PID CONTROLLER
Particle swarm optimization based auto-tuning of Proportional-Integral-Derivative (PID) controller is discussed in this paper. Relay feedback experiment is applied to identify the approximate parameters of PID controller first, although the parameters identified is not very accurate. Next we utilize particle swarm optimization algorithm to refining parameters of PID controller. The basic particle swarm optimization based auto-tuning PID algorithm often fall into local optimum. To improve the performance of controller, an improved PSO method is proposed in this paper by dividing the searching process into two steps. First the parameter k,, of particles is limited in a small space then enlarged to a larger one. Our experiments confirm the method can improve the performance of PID controller dramatically.
Particle Swarm Optimization PID controller Autotuning
YOU-BO WANG XIN PENG BEN-ZHENG WEI
Institute of Communication, Shandong Normal University, Jinan City, China, 250014 Institute of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan City
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1818-1823
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）