基于粒子群优化算法的PID液位控制

PID liquid level control based on particle swarm optimization algorithm

文章针对双水箱液位串级控制系统,为其主调节器设计了一种基于粒子群优化算法的参数自整定PID控制器,并在过程控制试验平台上利用MCGS组态软件加以实现;实验结果表明,新的控制器较常规PID控制器响应速度快,超调小且调节时间短,系统的性能得到明显改善。

For the water level control of the system composed of two tanks, a novel self-tuning PID controller is designed based on the particle swarm optimization（PSO） algorithm and applied to the main regulator within the cascade control scheme. The controller is realized by using the configuration software MCGS and tested on an experimental process control platform. The experimental results show that the water level control system with the new PSO self-tuning PID acquired better performance than the conventional PID.