基于粒子群优化算法对离散PID控制器参数的优化研究

Research on Parameter Optimization of Discrete PID Controller Based on Particle Swarm Optimization Algorithm

摘要: 针对已有的控制对象，如何设计控制性能良好的离散PID控制器，即如何找到一组最合适的离散PID控制器参数在工业实际控制中具有很高的实用价值。论文采用粒子群优化算法，在二次型性能指标下对离散PID控制器的控制参数进行优化并给出了优化结果。通过仿真研究与分析，采用粒子群优化算法可得到PID控制器的最优参数，且在二次型性能指标下控制效果明显。

Abstract: In view of the existing control objects, how to design the discrete PID controller with good control performance, that is, how to find a group of most suitable discrete PID controller parameters has become very important. In this paper, the particle swarm optimization algorithm is used to opti-mize the control parameters of the discrete PID controller under the quadratic performance index, and the optimization results are given. Through simulation research and analysis, the optimal pa-rameters of PID controller can be obtained by using particle swarm optimization algorithm, and the control effect is better under the quadratic performance index.