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
Analytical Design of State Feedback Controllers for a Nonlinear Interacting Tank Process
554  Abstract: The typical nonlinear interacting tank process has the difficulty in controller design because of a change in system dynamics and interaction of processes. This paper deals with design methodology of state feedback with and without integral controller and the performance of which is compared with ZN tuned PID controller. A simulation is carried out using MATLAB to control the modeled nonlinear interacting tank processes.