【会议EI】Application of particle swarm Fuzzy-Smith PID in Temperature Control of Bag Filter
- 所属单位：电气与电子工程学院
- 发表刊物：2020智能控制测量与信号处理国际学术会议论文集
- 项目来源：省、市、自治区科技项目
- 关键字：Bag filter; Temperature control; Fuzzy PID control; Partical swarm optimization; MATLAB simulation
- 摘要：The temperature control of the bag filter is a non-linear control system with large time lag and too complicated environmental factors. Therefore, building an accurate model is very difficult and thus unable to perform precise control. Currently, fuzzy PID methods are mostly used. However, fuzzy PID relies too much on expert experience. After the parameter value is set, it cannot be adjusted with the change of the input error, and the dynamic performance is poor. In this article, optimizing the scale factors Kp, Ki, Kd and quantization factors Ke, Kec in fuzzy PID control by particle swarm optimization. Besides, smith control aimed to eliminate the effect of time lag and then using MATLAB to verify the effectiveness of the algorithm. Experiments show that particle swarm optimization fuzzy PID has faster response speed, smaller overshoot, and shorter time to reach a steady state.
- 第一作者：魏远方
- 论文类型：论文集
- 页面范围：2
- 是否译文：否
- 发表时间：2021-06-01
