Intelligent Control Methods Of Quadruple Tank Process

Today, industrial process control has evolved from simple basic control requirements up to optimal control, optimal control height. Such as predictive control and other advanced control algorithm has good effect, but limited to the cost and operational issues such as the quality of personnel, advanced algorithms difficult process in the industrial real effective application. To solve this problem, This paper presents a Siemens S7-300PLC and supporting PC configuration software WinCC controls designed for advanced control methods, making advanced algorithms for rapid deployment in the industrial field can be achieved.Matlab integrates a large number of advanced algorithm toolbox, making some of the advanced system identification technology and computer control technology in industrial control systems can be applied. The real-time network control based on Matlab/Simulink for actual industrial objects requirements Matlab software running on the PC, and the need to use OPC communication technologies, however, these operations cumbersome and complex. With the increasing complexity of the controlled object, the control strategy and control accuracy have higher requirements. In addition to being widely known and applied outside the PID control strategy, more and more increased emphasis on intelligent control algorithm. For the above, this paper presents a control inserted in WinCC, the method can fully realize intelligent algorithm from the Matlab and real-time control of industrial objects.This paper studies the Siemens WinCC monitoring software components integrated intelligent control method, this component can implement different kinds of intelligent algorithms, this paper implements two different intelligent control algorithms, one is a self-tuning PID control algorithm, a kinds of neuronal network predictive control algorithms. Component implementation using C++and Matlab programming mix, greatly shorten the development cycle, and finally to network four-tank system as experimental subjects to test the feasibility of the control components and control effect. Realized using the experimental object PLC300intelligent control algorithm. Level control experiments show that this technique are feasible, reliable, and flexible usage of control components, control effect is good.