Application and the Parameter Tuning of ADRC Based on BFO-PSO Algorithm

摘要：

　　In order to overcome the difficulty in tuning multi-parameters of active disturbance rejection controller (ADRC),bacterial foraging optimization (BFO) algorithm was introduced.Considering the slow convergence of BFO algorithm and the good convergence of particle swarm optimization (PSO) algorithm,the parameter tuning of ADRC based BFO and PSO algorithm was proposed.The control method is applied to permanent magnet linear synchronous motor (PMLSM) control system used by numerically-controlled machine tool,and the simulations show that the ADRC with parameters optimized by BFO-PSO optimization algorithm has good control performance.

关键词： Active Disturbance Rejection BFO-PSO Parameter Tuning Robustness PMLSM

作者: Chunfang Liu Yang Chu Limei Wang Yuxian Zhang

作者单位: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870

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: 3099-3102

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）