信息与控制2011，Vol.40Issue(5)：698-703,6.DOI:10.3724/SP.J.1219.2011.00698
基于改进粒子群优化算法的污水处理过程优化控制
Optimal Control for Wastewater Treatment Process Based on Improved Particle Swarm Optimization Algorithm
摘要
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 (BSM1) 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 division of work strategy has stronger global searching ability, and the simulation results show that using the presented optimal control scheme, the operation cost is significantly reduced while the effluent quality can meet the integrated wastewater discharge standard.关键词
污水处理/优化控制/BSM1/粒子群优化Key words
wastewater treatment/ optimal control/ BSM1/ particle swarm optimization (PSO)分类
信息技术与安全科学引用本文复制引用
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):698-703,6.基金项目
国家863计划资助项目(2009AA04Z155) （2009AA04Z155）
国家自然科学基金资助项目(60674066) （60674066）
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. （KZ201010005005）
