Design of an optimal fractional-order PID controller using Multi-Objective GA optimization
The fractional-order PID controller provides more adjustable parameters in the controller optimization than conventional PID controller. Therefore, FOPID is designed to achieve more goals, and multi-objective optimization based genetic algorithm is adopted. To solve this problem, a multi-objective optimization design method is proposed in this paper. Not only the robust performance, but also frequency angle margin, overshoot and rise time are all taken as the objectives to optimize. Then a variant of NSGA-reach the optimal solution. This method can obtain uniformly distributed Pareto-optimal solutions and have good convergence and excellent robustness. The satisfactory solution is selected in Pareto optimum solution set according to the system requirement, which provides an effective tool for trade-off among the performance of quickness, stability and robustness. Simulation results support the superiority and effectiveness of the proposed method.
fractional-order PID H∞ minimization genetic algorithm Pareto-optimal solution
Li Meng Dingyü Xue
Department of Information Science and Engineering, Northeastern University, Shenyang 110004, P R Chi Department of Information Science and Engineering, Northeastern University, Shenyang 110004, P R Chi
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3849-3853
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）