The Study Of Intelligent Level Control System Based On TCS3000

In the field of sewage treatment,petrochemical industry,power plants,etc.The control object is often lagging behind,non-linear and time-varying characteristics and the traditional control method is difficult to achieve good results.The double-holding water tank has the similar characteristic,thus,it can be a good simulation of such control objects.Therefore,this paper to the laboratory of dual-capacity water tank as an example,to simulate the industrial control object,and then carries on the simulation research to the control algorithm.The intelligent algorithm is applied to the DCS liquid level control system,which realizes the adaptive control of the control object,and has achieved good effect in the control quality and efficiency.Based on the deep analysis of the double tank,we modeled the liquid level control object through the comprehensive method.Firstly,the basic principle of conventional PID control is introduced.Then,the expert PID control algorithm and fuzzy PID control algorithm are studied.Finally,the control algorithm is simulated in MATLAB environment,and analyzed the control effect.The simulation results show that the fuzzy PID control is superior to the expert PID control and the conventional PID control in adjusting the time and overshoot.In order to verify the simulation results,we apply PID control algorithm and fuzzy PID algorithm to the TCS-3000 system.The liquid level control system is based on the platform of GUODIAN Nanjing Automation Co.,Ltd.TCS-3000 distributed control system and EFAT/P experimental device.Programming the control algorithm through MOXGRAF software,the entire monitoring screen is drawn in the CITECTSCADA software.Both the simulation curve and the experimental results show that the fuzzy PID control has a good control effect.