US-Sweden Cooperative Research: System Identification and Control of the Clarification Process

该奖项将支持新汉普郡大学的Paul J.OssenBruggen博士和瑞典隆德理工学院的Gustaf Olsson教授之间的合作研究。拟议的项目侧重于活性污泥处理(AST)工艺的澄清阶段，这是一种高度复杂的生物处理废水的方法。尽管它在世界各地很受欢迎，但我们对这一过程的了解有限，目前还没有足够的方法来控制这一过程。即使在运营良好的工厂，频繁违反排放标准的情况也很常见。在AST过程中，许多物理、水力和生物因素相互作用，使得系统辨识和开发有效的动态控制算法变得困难。在这个项目中，提出了一个因子实验来确定对澄清过程有显著影响的参数。考虑的因素有：混合液悬浮物、回流污泥流量、溶解氧和污泥床层深度。响应、控制和非控制参数的测量将以每分钟一次观测的频率进行测量。这些关键因素的时间序列将使用Box-Jenkins技术进行分析，以建立数学模型并开发控制算法。所有实验和控制器验证研究都将在全规模的处理厂中进行。这项研究工作将在隆德理工学院与奥尔森教授合作进行，奥尔森教授是公认的系统建模和控制专家。这项研究建立在之前在休斯顿和加拿大使用全规模处理厂进行的研究的基础上。通过提供专门为时间序列技术和因果研究的特殊需要而设计的实验数据，这项研究应该有助于更好地理解AST过程及其控制。

This award will support collaborative research between Dr. Paul J. Ossenbruggen, University of New Hampshire and Professor Gustaf Olsson, Lund Institute of Technology, Sweden. The proposed project focuses on the clarification phase of the activated sludge treatment (AST) process, a highly complex, biological method of treating wastewater. In spite of its popularity around the world, our understanding of the process is limited, and at present there are not adequate methods to control the process. Frequent violations of effluent standards are common even at well-operated plants. The interaction of a number of physical, hydraulic and biological factors in the AST process make system identification and development of effective dynamic control algorithms difficult. In this project, a factorial experiment to identify parameters that significantly affect the clarification process is proposed. The factors of concern are: mixed liquor suspended solids, return sludge flow rate, dissolved oxygen, and sludge blanket depth. Measurements of response, controlled and uncontrolled parameters will be measured at a frequency of one observation per minute. Time series of these critical factors will be analyzed using Box-Jenkins techniques to formulate mathematical models and to develop a control algorithm. All experiments and controller validation studies will be performed on full-scale treatment plants. This research effort will be conducted at the Lund Institute of Technology in cooperation with Professor Olsson, a recognized expert on system modelling and control. The study builds on previous research conducted in Houston and Canada using full-scale treatment plants. By providing data from experiments specifically designed for the special needs of time-series techniques and cause-effect studies, the research should lead to a better understanding of the AST process and its control.