| 基于粒子群优化算法的PID液位控制 |
| |
| 引用本文： | 吴文进,葛锁良,江善和,王其申.基于粒子群优化算法的PID液位控制[J].合肥工业大学学报(自然科学版),2009,32(11). |
| |
| 作者姓名： | 吴文进 葛锁良 江善和 王其申 |
| |
| 作者单位： | 1. 安庆师范学院,物理与电气工程学院,安徽,安庆,246011
2. 合肥工业大学,电气与自动化工程学院,安徽,合肥,230009 |
| |
| 基金项目： | 安徽省教育厅自然科学基金资助项目 |
| |
| 摘 要： | 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.
|
| 关 键 词： | 粒子群优化算法 PID控制 参数自整定 液位 |
PID liquid level control based on particle swarm optimization algorithm |
| |
| WU Wen-jin,GE Suo-liang,JIANG Shan-he,WANG Qi-shen.PID liquid level control based on particle swarm optimization algorithm[J].Journal of Hefei University of Technology(Natural Science),2009,32(11). |
| |
| Authors: | WU Wen-jin GE Suo-liang JIANG Shan-he WANG Qi-shen |
| |
| Abstract: | 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. |
| |
| Keywords: | particle swarm optimization algorithm PID control parameters' self-tuning liquid level |
| 本文献已被 万方数据 等数据库收录！ |
|
