Renovation Of Oil Injection System Based On Portal S7-1500

The original transformer oil management system of an enterprise has inaccurate oil quantity measurement,which can not be monitored in real time and make oil replenish-ment plan according to historical data.Flow control accuracy is not high,easy to produce bubbles;Manual control is easy to make mistakes,the site line is more complex,easy to be damaged.In order to improve the system,this paper aims at the above shortcomings to upgrade the original system.With TIA Portal launched by Siemens as the software plat-form,the internal integration of Portal Step7,Portal Win CC and hardware configuration selection makes the connection of variables and program design more concise.In hardware,S71500 PLC is used as the starting and stopping of various indication signals and frequency converters of the master station control system,ET200 is used as the input of various sensors,solenoids and frequency converters used by the slave station to control the system,and the master and slave stations communicate through PROFINET fieldbus.Each has its own job.Transformer oil to control part of the management system has three: first is the transformer oil in the pipeline flow is a process requirement,oil flow in the pipeline can not exist overshoot,otherwise it will cause bubbles and thus reduce the insulation of transformer oil,this article in view of the lag and interference system,discusses the traditional PID and the effect of single neuron PID flow control of the system.Compared with the conventional PID algorithm,which is difficult to determine the parameters and leads to poor control effect,the single-neuron PID algorithm can adjust the parameters online and has the ability of self-adaptation.After comparing the control effect under different learning rules,it is found that the supervised Hebb single neuron PID algorithm can perfectly meet the control requirements.In PLC,the algorithm to control the flow precision can be realized through the ladder diagram.Secondly,the transformer oil temperature should be monitored when the oil filter process is carried out to ensure that the transformer oil will not deteriorate because the oil temperature is too high.This paper adopts CMAC(Cerebellar Model Articulation Controller)and PID parallel control for oil temperature control,and simulates and analyzes the conventional PID algorithm,fuzzy PID algorithm and CMAC and PID parallel algorithm in MATLAB,and finds that the CMAC and PID parallel algorithm can better meet the needs of the factory.Finally,the level of the static pressure tank is controlled,otherwise the pressure in the static pressure tank can not complete the static pressure test,due to its low accuracy requirements,in order to reduce the difficulty of field operation,the normalized parameters are used to set the conventional PID,field operators can complete the control of the liquid level by adjusting a parameter.The improvement of the system also designed the circuit schematic diagram,ladder diagram and configuration interface.In the boto software,variable tables can be established for the variables in the ladder diagram and the variables in the configuration interface at the same time,and the related variables can be connected,and generate statements according to the historical data,accurately record each operation,which provides an environment for the oil measurement and test,and meets the production needs of enterprises.