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Design and Realization of Dissolved Oxygen Control System in Wastewater Treatment

Author: YangShiPin
Tutor: ChenLin
School: Wuhan University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: Sewage treatment DO Neural Network Adaptive PID
CLC: X703
Type: Master's thesis
Year: 2008
Downloads: 387
Quote: 3
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Abstract


Sewage is a source of environmental pollution , water pollution environmental issues are included in the world environmental organizations work schedules. China's sewage treatment system , higher operating costs restricting sewage treatment technology an important factor. For urban industrial wastewater emissions increases this phenomenon , the effect is good and low energy sewage treatment technology , is the current development trend of China's sewage treatment . In the sewage treatment system, the amount of dissolved oxygen in water , sewage treatment biochemical reaction process is an important indicator , it more intuitive and quickly reflect the operational status of the entire system for the control of dissolved oxygen can directly affect the process and the sewage system energy consumption. Currently, the proportional, integral , derivative (PID) control in industrial process control system is widely used, its performance mainly depends on the parameter adjustment reasonable choice . Because the sewage treatment process there are many uncertain factors that lead to PID parameter tuning and its control performance is not satisfactory. In this paper, the dissolved oxygen content of the sewage treatment process control problems , in -depth analysis of relevant literature and research based on the results , made ??the following four aspects: First, the introduction of this subject sources and research background to discuss the research meaning. Second, the introduction of sewage treatment process . Aeration process on a mathematical model, and the mathematical model , the stability and controllability of the theoretical analysis . For traditional aeration of the existence of peroxide or oxygen-deficient situations selected the appropriate control scheme. Third, the introduction of the conventional PID control algorithm and its characteristics, for PID control in the sewage treatment system deficiencies , combined with the back-propagation network (BP network ) control theory, analysis , and identification of BP network based on BP network PID adaptive the basic principle of the controller , the identification target using BP network dynamics model, and the parameters of the PID controller to optimize the corresponding simulation results are given , relevant conclusions summarized . Fourth, the complete PC monitoring management software configuration and slave PLC system design, implementation of the sewage treatment process automation control and digital management .

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CLC: > Environmental science, safety science > Processing and comprehensive utilization of waste > General issues > Wastewater treatment and utilization
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