Modeling and control of level control process — A comparative study
Tank level control systems are everywhere. All of our process industries mostly depends on this tank level control systems. This paper deals with the modeling and control of a two tank liquid level control system. The considered non linear system is a Single Input Single Output (SISO) system. The goal of the level control is to track the desired level of liquid in to the second tank by controlling the flow rate of the first tank. The tanks are coupled in the interacting and non-interacting ways and a comparison is made between these two systems. The mathematical modeling is done by mass balance method and the PID controller is designed by the trial and error method. The system is simulated with both open loop and closed loop conditions. A comparative study of the time domain response of the two systems while using the PID controller is done by the MATLAB simulation.
PERFORMANCE ANALYSIS OF TWO TANK SPHERICAL INTERACTING LEVEL CONTROL SYSTEM WITH PARTICLE SWARM OPTIMIZATION BASED PID CONTROLLER
Int J Adv Engg Tech/Vol. VII/Issue II/April-June,2016/922-925 Research Paper PERFORMANCE ANALYSIS OF TWO TANK SPHERICAL INTERACTING LEVEL CONTROL SYSTEM WITH PARTICLE SWARM OPTIMIZATION BASED PID CONTROLLER S. J. Suji Prasad, B. Venkatesan, I.Thirunavukkarasu Address for Correspondence Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India Department of Instrumentation and Control Engineering, M.I.T., Manipal University, Manipal, India
Performances evaluation and comparison of PID controller and fuzzy logic controller for process liquid level control
Tank level control systems can be found everywhere. It is essential for control systems engineers to understand how tank control system work and how the level control problems are solved. In industrial control systems the liquid level is carrying its significance as the control action for level control in tanks containing different chemicals or mixtures is essential for further control linking set points. All the real systems exhibits non-linear nature, conventional controllers are not always able to provide good and accurate results. Fuzzy Logic Control is used to obtain better response. Fuzzy Logic is a paradigm for an alternative design methodology, which can be applied in developing both linear and non-linear systems for embedded control. By using fuzzy logic, designers can realize lower development costs, superior features, and better end product performance. One of the successful applications that used fuzzy control is tank liquid level control. In this paper, we take the liquid level water tank, and use MATLAB to design a Fuzzy Control. Then we analyze the control effect and compare it with the effect of PID controller. As a result of comparison, Fuzzy Control is superior to PID control. Especially it can give more attention to various parameters, such as the time of response, the error in steady state and overshoot. Comparison of the resultant control response from these two systems indicated that the fuzzy logic controller significantly reduced overshoot and steady state error.