Optimal Tuning of Plant-Friendly PID Controllers  

作　　者：史大威 王军政 马立玲 

机构地区：[1]Key Laboratory of Complex System Intelligent Control and Decision,School of Automation,Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》2010年第3期331-336,共6页北京理工大学学报（英文版）

基　　金：Sponsored by the Key Construction Program of the"985"Program (1010012047201)

摘　　要：A plant-friendly proportional-integral-derivative （PID） controller optimization framework is proposed to make tradeoffs among set-point response,controller output variations and robustness.The objective function is chosen as the weighted sum of the integral of squared time-weighted error and the integral of squared timeweighted derivative of the control variable with respect to set-point response,while the robustness of the system is guaranteed by constraints on gain and phase margins.Due to the complex structure of the constraints,the problem is solved by genetic algorithms.Simulation analysis show the proposed method could efficiently reduce the controller output variations while maintaining a short settling time.Based on the simulation results,iterative tuning rules for the weighting factor in the objective function are obtained,which allows efficient simple proportional-integral（PI） tuning formulae to be derived.A plant-friendly proportional-integral-derivative （PID） controller optimization framework is proposed to make tradeoffs among set-point response,controller output variations and robustness.The objective function is chosen as the weighted sum of the integral of squared time-weighted error and the integral of squared timeweighted derivative of the control variable with respect to set-point response,while the robustness of the system is guaranteed by constraints on gain and phase margins.Due to the complex structure of the constraints,the problem is solved by genetic algorithms.Simulation analysis show the proposed method could efficiently reduce the controller output variations while maintaining a short settling time.Based on the simulation results,iterative tuning rules for the weighting factor in the objective function are obtained,which allows efficient simple proportional-integral（PI） tuning formulae to be derived.

关 键 词：PID control plant-friendliness genetic algorithm constrained optimization 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]