研究报告
吴杰,罗健旭,张照生.基于降维状态观测器的曝气量最优控制仿真研究[J].环境科学学报,2012,32(7):1604-1611
基于降维状态观测器的曝气量最优控制仿真研究
- Simulation of aeration optimal control based on the dimensionality reduction observer
- 基金项目：国家自然科学基金资助项目(No.60974066)
- 作者
- 单位
- 吴杰
- 华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海 200237
- 罗健旭
- 华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海 200237
- 张照生
- 华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海 200237
- 摘要：为降低污水处理厂曝气过程的能耗,对曝气系统的优化控制进行了研究.首先,建立了基于活性污泥模型ASM1的曝气系统的简化模型;然后,利用降维状态观测器重构在线不可测状态,提出了基于降维状态观测器的曝气量最优控制策略;最后,将该优化控制策略应用于污水处理基准仿真模型BSM1,仿真采用晴天进水数据.结果表明,与溶解氧的PID控制相比,最优控制在保证出水氨氮浓度和化学需氧量等水质的情况下,降低了曝气量和出水总氮浓度,同时曝气能耗相比PID控制可下降5%以上,并且改善了出水指数.
- Abstract：In order to reduce the cost of the aeration energy in wastewater treatment plants (WWTPs), an optimal control approach of the aeration system was studied. Firstly, a simplified model of aeration system was built according to the Activated Sludge Model No.1 (ASM1). A dimensionality reduction observer was then applied for estimating the unmeasured states in the aeration system. The proposed optimal control based on the dimensionality reduction observer was applied to a benchmark WWTP, the Benchmark Simulation Model 1 (BSM1).In this paper, dry-weather influent data are considered. Compared with PID control strategy of dissolved oxygen recommended by BSM1, the aeration and effluent total nitrogen were reduced; more than 5% of aeration energy was saved while the effluent ammonia and chemical oxygen demands were maintained by applying optimal control. The proposed control strategy also improved the effluent quality index.
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