| 污水处理过程的自适应控制 |
| |
| 引用本文： | 范石美. 污水处理过程的自适应控制[J]. 控制工程, 2004, 11(2): 130-131,174 |
| |
| 作者姓名： | 范石美 |
| |
| 作者单位： | 浙江工业大学,信息学院,浙江,杭州,310014 |
| |
| 摘 要： | 把自适应控制方法应用到污水生化处理过程中，主要是对溶解氧浓度的控制。使用双线性模型来简化溶解氧动态，对于一些不可以直接测量得到的重要过程参数，采用递推最小二乘算法来估计得到，并设置一步预测输出为期望的输出，从而得到对溶解氧浓度的最小方差自校正控制方案。仿真结果说明了空气流量和氧气吸收率(OUR)对溶解氧浓度的影响。
|
| 关 键 词： | 污水生化处理过程 溶解氧浓度 最小方差自校正控制 |
| 文章编号： | 1671-7848(2004)02-0130-03 |
| 修稿时间： | 2003-06-09 |
Adaptive Control of Wastewater Treatment Process |
| |
| FAN Shi-mei. Adaptive Control of Wastewater Treatment Process[J]. Control Engineering of China, 2004, 11(2): 130-131,174 |
| |
| Authors: | FAN Shi-mei |
| |
| Abstract: | An adaptive control strategy of the wastewater treatment process is proposed, espetially the control of the dissolved oxygen (DO) concentration. A bilinear model is used to simplify the DO dynamics. And for the estimation of key parameters of the process model that cannot be obtained from direct measurement, a recursive least squares method is used. In order to obtain the minimum variance self-tuning control strategy of the DO concentration, a step predicted output is taken as the desired output. Finally, by simulations, it is explained the influence of the air flowrate and the oxygen uptake rate (OUR) for the DO concentration. |
| |
| Keywords: | wastewater treatment process dissolved oxygen (DO) concentration minimum variance self-tuning control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
