基于人群搜索算法的PID控制器参数优化

Optimization Parameters of PID Controller Parameters Based on Seeker Optimization Algorithm

关于PID控制器在工业控制领域应用优化问题,PID参数优化成为工业自动化研究的热点。PID参数优化对于系统的稳定性、可靠性和快速响应等特性有着重要的意义。为了改善和优化PID控制器性能,提出一种人群搜索算法(SOA),以PID三个参量为搜寻队伍,以误差绝对值和控制输入平方项的时间积分作为优化目标,经过迭代寻优计算得到系统最优控制量。通过对比遗传算法和粒子群算法PID参数优化,仿真结果表明,改进算法提高了系统的控制精度,系统响应速度快,鲁棒性好,为控制系统PID参数整定提供了参考。

With the wider and wider applications of PID controller in industrial controls, optimization parameters of PID controller becomes a research hotspot. PID parameters optimization is important and of great significance for stability, reliability and fast response characteristics of system. To improve and optimize the PID controller performanee, this paper proposed an optimization algorithm. The optimization algorithm for PID parameters was viewed as a search of search population in the search space, the integration for absolute error and the square of control input were used as optimization goals, and the optimal control quantity was calculated through iterative optimization. The simula- tion results show that the algorithm improves control precision, system response speed and robustness, and provides some reference for PID parameters optimization of control system, compared with the genetic algorithm and particle swarm optimization algorithm.