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Baseded On Fuzzy Pid Control Parameter Adaptive Constant Pressure System

Posted on:2017-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:F WangFull Text:PDF
GTID:2322330488978540Subject:Computer Science and Technology Manufacturing Information Technology
Abstract/Summary:PDF Full Text Request
With the advance of urbanization and the enlargement of city scale,water consumption in industrial and agricultural production and living is increasing,so water supply system is facing severe pressure.Especially the peak of water consumption,because the limited capacity of water plant and the pipe network,water pressure is low at the end of pipe network,which result in remote areas and high-rise residential water users difficult.The effective solution to the above problem is to increase the frequency conversion constant pressure water supply system,to achieve the second water supply.The existing water supply system is mainly divided into two categories :One is the power frequency operation of the pump combined with the opening of the valve to adjust the water supply,the other is the constant pressure water supply.The first control method is simple,but the energy consumption is high,and the price is low.The results show that the pump shaft power is proportional to the cube of speed,so using power frequency pump constant speed water supply will consume a large part of the power in the valve and pipe resistance.The balance between water supply and consumption is tochange the tube resistance characteristics achieved,not to adjust the pump head characteristics achieved.So waste of energy consumption on the valve and pipe is serious,which lead to low efficiency of water supply,water pressure fluctuations and low reliability.According to the complexity,control objects with large time delays,higher-order,non-linear time varying parameters and characteristics of water supply system’s pipe network,we designed the intelligent constant pressure controller to drive the imbalance between the water supply and water consumption concentrated in the water supply pressure,which can adjust water pipe network pressure according actual use of water to keep balance between water supply and water use,and to improve the quality of water supply.The main work of this article is as follows:First,we analyzed and discussed the working principle and energy conservation principle of constant frequency control system,pointed out that the current situation and the problems of constant pressure control water supply system.at the same time,we put forward own improved constant pressure water supply control system design.Second,a more detailed description of the application of traditional PID control principle and problems on the pump,as well as improved PID algorithm.At the same time it proposed mathematical model,fuzzy theory with PID control algorithm,allowing three parameters of the PIDcontrol system to adjust automatically online to meet the complex water system.Third,introduced a hardware block diagram of a circuit based on SCM STM32 constant pressure control system.For example,pressure detecting circuit,a input signal circuit,the MCU and the drive interface circuit,frequency grid voltage detection circuit,square wave frequency conversion circuit,A / D converter circuit is designed,And proposed anti-jamming design in hardware.Fourth,the article designed main program flow chart of the system,key operation module,LCD liquid crystal display module,due to Fuzzy theory adaptive PID control algorithm software.Fifth,The article designed the software,as main program flow chart of the system,key operation module,LCD liquid crystal display module,Fuzzy theory adaptive PID control algorithm and so on.And put the system in the inspection station to debug,which is made for this project SCM constant voltage control system.The results show that the structure of the system design,parameter setting are reasonable,can achieve constant voltage control with water supply system.Finally,put forward the system defects and the direction of research in the post.
Keywords/Search Tags:Constant pressure, Adaptive parameters, Blurry, Control System
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