| 基于改进粒子群优化算法的污水处理过程优化控制 |
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| 引用本文： | 史雄伟,乔俊飞,苑明哲.基于改进粒子群优化算法的污水处理过程优化控制[J].信息与控制,2011,40(5). |
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| 作者姓名： | 史雄伟 乔俊飞 苑明哲 |
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| 作者单位： | 1. 北京工业大学电子信息与控制工程学院,北京1oo124
2. 中国科学院沈阳自动化研究所,辽宁沈阳,110016 |
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| 基金项目： | 国家863计划资助项目，国家自然科学基金资助项目，北京市教育委员会科技计划资助项目(KZ201010005005):教育部新世纪优秀人才支持计划资助项目 |
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| 摘 要： | 针对前置反硝化工艺污水处理过程,提出了一种基于分工策略粒子群优化算法的优化控制方案.以国际水协会(IWA)开发的基准仿真模型BSM1为基础,综合考虑出水水质、曝气能耗和泵送能耗,通过动态优化底层PI控制器的最佳设定值达到出水水质高、能量消耗少的目的.基于分工策略的粒子群算法具有更强的全局寻优能力,仿真结果表明了该优化方案能够在保证污水水质达标的情况下,有效减少污水处理过程的能耗.
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| 关 键 词： | 污水处理 优化控制 BSM1 粒子群优化 |
Optimal Control for Wastewater Treatment Process Based on Improved Particle Swarm Optimization Algorithm |
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| SHI Xiongwei,QIAO Junfei,YUAN Mingzhe.Optimal Control for Wastewater Treatment Process Based on Improved Particle Swarm Optimization Algorithm[J].Information and Control,2011,40(5). |
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| Authors: | SHI Xiongwei QIAO Junfei YUAN Mingzhe |
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| Affiliation: | SHI Xiongwei~1,QIAO Junfei~1,YUAN Mingzhe~2 (1.College of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China,2.Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China) |
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| Abstract: | An optimization control scheme based on particle swarm optimization with division of work is proposed for pre-denitrification wastewater treatment process.Taking the benchmark simulation model(BSMl) as basis,and considering the effluent quality,the aeration and pumping energy consumption,and the best setting value of lower level PI(proportional-integral) controllers are optimized dynamically so as to improve the water quality of effluent with minimal energy consumption. The particle swarm optimization with ... |
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| Keywords: | wastewater treatment optimal control BSMl particle swarm optimization(PSO) |
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