污水泵站排放系统的预测控制

【作者】 石宏宇；

【导师】 汪雄海；

【作者基本信息】 浙江大学 ， 控制理论与控制工程， 2004， 硕士

【摘要】 本文针对当前污水泵站排放系统存在的耗能多及污水溢出污染的问题，提出了采用预测控制，结合变频调速的控制手段。 当前污水泵站排放系统主要采用人工值守方式排水，低水位高扬程耗能严重，且缺乏预测能力，流量洪峰来临时易产生污水溢出污染。通过分析污水泵站排放系统运行情况，结合当前国内外研究成果，提出了基于预测控制的污水排放控制系统。 在预测控制算法研究的基础上，分析了用不同的数学模型逼近污水泵站排放系统，比较了采用常规水位控制、PID控制和预测控制对污水泵站排放系统的控制效果，在仿真结果对比的基础上，得到了采用预测控制可以更好的解决节能无污控制目标的结论。 在仿真研究基础上，搭建了模拟试验系统，在实验室条件下，对污水泵站排放系统进行了结合变频调速的预测控制模拟试验，试验结果表明，采用预测控制，可以使系统运行在高水位低扬程的工况下，使流入泵站管网的污水等量排出，实现了节能无污的控制目标。 针对污水泵站内机组优化启停的问题，提出了采用遗传算法进行优化组合，给出了泵站机组启停的控制方案，并进行仿真研究，仿真结果显示，采用遗传算法优化泵站机组启停控制，可使泵站机组运行在最佳节能状态，且能够将输入污水泵站的污水等量排出，实现了节能和减少污染的控制目标。更多还原

【Abstract】 The question of power waste and sewage overflow in sewage pumping station system is proposed. In order to solve this question, predictive control and VVVF are applied.Currently sewage in sewage pumping station system is pumped manually. So the station is working in low water level and energy is consumed. This mode can’t predict the inflow’s changing. So sewage in the station may be overflowed when large flux flow in the station. By researching the sewage pumping station’s working situation and studying the advanced theory in sewage pumping control, the sewage pumping control system based on predictive control is proposed.On the base of studying in arithmetic of predictive control, different math models are used to approach the control system. General water level control, PID control and predictive control using in sewage pumping station are compared. By simulating the different models using in control system, the conclusion that the aim of saving power and preventing pollution in sewage pumping station can be achieved by using predictive control is got.Experimentation system is set up based on simulation. Experimentation of sewage pumping station based on predictive control with VVVF is carried out. The experimentation result shows that the sewage pumping station predictive control system can be running under the condition of high water level. By using this control mode, inflow sewage is pumped out entirely. The aim of saving power and preventing pollution is achieved.The question of power waste caused by pumping station sets’ illogical running project is proposed. Genetic Algorithm can quickly find the optimized result in global. Using this characteristic to control the pumping station sets’ running and stopping can attain the object of saving power. It is also tested in the experiment.更多还原