外文翻译--基于ControlLogix5550 PLC的锅炉水位控制系统

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1、外文原文：http:/ 1 中文 2710 字  Boiler level control system based on ControlLogix5550 PLC Abstract-This paper is a research design based on EFPT process control device. In the design, actual industry field has been simulated and corresponding modeling has been carried on for the boiler level system. T

2、hen the appropriate PID parameter has been sorted out and ControlLogia5550PLC has been used to control the entire boiler level system. At last,  a  corresponding  control  interface  has  been established and the boiler level has been under a safe and accurate control &

3、nbsp;Keywords： EFPT， PID， Modeling， Boiler  level；  1   Introduction The task of the industrial boiler level control is to maintain a dynamic balance by controlling the water flow and evaporation, so that the drum level can be maintained in the technological level, which is a necessit

4、y for ensuring safe operation and also one of the main indicators of the boiler's normal operation. Water level which is too high will affect the effect of the steam-water separation, but too low it is will break ring cycle or even cause boiler explosion. To ensure a safe and efficient productio

5、n, the boiler level must be strictly controlled in maintaining constant or changing only according to a certain rule.     Using Logix5550 PLC with analogy I/O modules, launched  by  Rockwell  Automation  Company  as controllers, and EFPT process control experimenta

6、l device as control object, this system have brought the boiler water level under an accurate control in a mini boiler system with sensors and actuators that used in industrial production.  2 Fig. 1 Boiler level setting value adjustment system 2   System Overview     This system

7、is composed of an EFPT process control device, an inverter, a Logix5550 PLC and a computer. EFPT process control device is a simulated heating and water supply and drainage system for a micro-small boiler. It realizes process control in a mini boiler system with sensors and actuators used in industr

8、ial production. The actuator includes not only measuring appliance, but also AC inverter, heating controller, heater and so on. The system simulates industry scene through a mini-boiler heating, water supply and drainage system, which is reliable and visual.     In the design, boiler Level

9、 was selected as the controlled variable. The controlled object is composed of the water trough, the force pump, the boiler and the pipe-line valve.  Micro Master 6SE9214-ODA40 inverter is taken as the actuator and the boiler level is controlled by Logix5550.  Configuration software RSView

10、32 and touch screen PanelView1000 are combined to realize the real-time monitoring. In the design, a simple design of single-loop boiler liquid level value adjustment is selected for the study. The composition of the system is shown in Fig. 1.          In the design, the inv

11、erter as an actuator directly receives PLC analogy I/O  3 port output, and converters into frequency of inverter so as to drive the 3-phase motor in the lift pump, change the inlet, and adjust the boiler level to the dynamic balance at last.  And the configuration software is used to desig

12、n monitoring picture to realize the computer and the touch screen to the boiler level long-distance and the scene monitoring.  3 Establishing Mathematics model for the charged object     One of the main tasks of establishing control system  mathematical  model  is  

13、;to  determine  the mathematical  model  of  the  controlled  object. Generally, there are two kinds of basic methods for establishing process control mathematical model: mechanism analysis and  experimental  method. However, for controlled object whose s

14、tructure and internal process is very complex, it is very difficult to determine the object just by its own internal physical process and to solve out the differential equations systematically.  Besides, considering the nonlinear factor, mechanism analysis used some approximation and hypothesis

15、 for mathematical deduction. Although these approximation and assumptions have practical basis, but not fully reflect actual situation, and even cause incalculable effects.     Therefore, in this design, the experimental method is chosen to establish a mathematical model for controlled obj

16、ect. This kind of modeling is based on the input and output in the actual production process, that is to say, establishing mathematical model for the controlled object through process identification and parameter estimation. In this design, step response curve method is used to identify mathematical

17、 models of the process. A 20Hz step disturbance input signal is applied to the charged object, and the response curve of the output that changes with time can be mapped. After  the  analysis,  the  transfer  function  of the controlled object can be defined. In the proc

18、ess of experiment, the object was conducted several tests. Using RSLogix5000 trend monitoring function curve, more than 10 charged object step response curve have been recorded. To all the parameters for average, steady time: ts821.525s, steady value: h()=58.5, peak time: tp=394.4s overshoot: a%29%. According to the theoretical analysis, the controlled object is the most likely second-order object.