基于改进多目标遗传算法的非线性PID控制器参数设计

Parameter Selection for the Nonlinear PID Controller Based an Improved Genetic Algorithm

针对NSGA-Ⅱ算法的不足,对其截断算法进行了改进,使得最终的非支配个体能够更均匀分布在Pareto前沿面上,并运用该方法来优化和构造非线性PID调节器。通过对锅炉过热汽温控制系统的仿真研究表明,该方法获得的非线性控制器可在一定程度上兼顾系统的动态和静态性能,相比固定参数的PID控制器,控制品质有了很大的改善。

An improved multi-objective NSGA-Ⅱ algorithm is presented in this paper,which can find the well-distributed Pareto optimal solutions by using an improved crowding-distance truncation operator.Furthermore,this algorithm is applied to optimize and construct the nonlinear PID controller.The simulation results of boil superheated steam temperature control system indicate that both the dynamic and static performances of the system are increased at a certain degree,and control quality is improved greatly.