一种云自适应粒子群优化的PID控制器设计与应用

针对PID控制器应用于实际的自动电压调节器(AVR)系统,为了有效地寻找AVR系统的最佳PID控制器参数,提出一种基于改进的云自适应粒子群算法的PID参数优化策略。通过建立粒子群优化的PID控制器参数模型,在控制过程中将PID参数(比例、积分、微分)作为粒子群中的粒子,采用控制误差绝对值时间积分函数作为优化目标,在控制过程中动态调整PID的三个控制参数,从而进行PID控制参数的实时优化。仿真结果表明,该PID控制器可以获得较好的控制性能指标,进而改善AVR系统的瞬时响应特性,具有一定的实用价值。

The Design and Application of PID Controller Based on Adaptive Particle Swarm Optimization with Cloud Theory

The PID controller is widely used in automatic voltage regulator(AVR) system to improve its control performance.In order to find the optimal PID controller parameters effectively for AVR system,a kind of modified adaptive particle swarm optimization based on cloud theory is applied to PID controller.Through the establishment of particle swarm optimization of PID controller parameter model,in the control process PID parameters(proportion,integral,differential) are considered as the particle in the particle swarm,and the error absolute value of time integral function is controlled as the optimization objective,and three PID control parameters are dynamically adjusted,thereby realizing the PID control parameters real-time optimization.The simulation results show that the PID controller has better control performance index so as to improve the transient response characteristics of AVR system,and has a certain practical value.