Research Of Liquid Level Monitoring System Based On PC-Based

This paper introduces Intelligent Control System based on the tank of PC-Based which can increase the control speed of chemical production in water level. In this paper, liquid-level control system is researched object. Traditional PID controller has been widely used in industrial process control with its simple, robust and other characteristics. However, there is a restrictions, it can not be charged the dynamic adjustment in accordance with the parameters of the object changes. In the liquid level control system, it often has big lag, the time-varying, non-linear link. For such a system, the traditional PID control can not meet the requirements of control. Therefore, we do not need to be precise mathematical model of fuzzy control technology with the traditional PID control technology. We have to use their respective advantages to finish the liquid level control. It will get a certain practical value.It has a study to the principle and features of PID controllers, fuzzy controllers, self-learning fuzzy controller. Sum up its pros and cons that get the hybrid design of intelligent control methods.The control system can finish the PC data transmission by using the Beckhoff bus terminal system. It uses a self-learning fuzzy control and PI control of a combination of intelligent control algorithm. It use of C++ language to complete procedures for control algorithm, collects real-time data in the monitor to achieve on-line monitoring, it will real-time to amend the rules of fuzzy control and switch PI control algorithm to achieve the control of water tank level. We will have a connection between the software provided by the Industrial TwinCAT component interface and VC++ development tools to design a hybrid intelligent control algorithms and system control interface.Finally, we make a comparison among PID controller, fuzzy controller and hybrid intelligent controller. The results show that hybrid intelligent control algorithm has good speed and a certain steady-state performance. It demonstrated that the control of the design is better. It proves its effectiveness.