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计算机工程 ›› 2010, Vol. 36 ›› Issue (8): 183-184. doi: 10.3969/j.issn.1000-3428.2010.08.064

• 人工智能及识别技术 • 上一篇    下一篇

基于人工免疫算法的污水处理最优控制

郑广勇,罗 飞,许玉格   

  1. (华南理工大学自动化科学与工程学院,广州 510640)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-04-20 发布日期:2010-04-20

Optimal Control for Swage Treatment Based on Artificial Immune Algorithm

ZHENG Guang-yong, LUO Fei, XU Yu-ge   

  1. (College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-04-20 Published:2010-04-20

摘要: 根据多变量最优控制数学模型,采用人工免疫算法进行污水处理过程的优化控制。该算法通过模拟免疫系统的学习、记忆功能实现模式识别和寻优搜索,避免迭代初值猜测以提高计算效率。数值仿真结果表明,该算法可满足污水处理系统多目标控制的要求,且鲁棒性强、控制效果好。

关键词: 污水处理, 人工免疫算法, 最优控制

Abstract: Based on multivariate optimal control mathematical model, this paper uses artificial immune algorithm to optimal control for swage treatment process. This algorithm realizes mode identification and optimizing search by simulating learning and memory function in immune system, avoids speculate iteration initial value to enhance computational efficiency. Numerical value simulation results show that this algorithm can reach the requirement of multi-object control in swage treatment system, and it has strong robustness and good control effect.

Key words: swage treatment, artificial immune algorithm, optimal control

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