Application of Adaptive PID Controller Based On Bacterial Foraging Optimization Algorithm

摘要：

　　In this paper,an adaptive PID controller is designed based on Bacterial Foraging Optimization Algorithm (BFOA).The parameters of adaptive PID controller are proposed after the following three steps.The parameters of BFOA were first initialized,and then fitness function was designed,finally three major operations were designed.Simulation results show that the performance of proposed PID controller which has excellent anti-interference capability is better than using Fuzzy Neural Network (FNN) and Genetic Algorithm (GA).

关键词： Bacterial Foraging Optimization Algorithm (BFOA) Adaptive PID Controller Parameters Tuning Fitness Function

作者: Guozhong Wu

作者单位: Automation Department, Nanjing Institute of Industry Technology, Nanjing 210016,China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 2353-2356

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）