Tuning Of Fractional Order PID Controller ForInteracting Systems By Different Methods

D. V. L. N. Sastry*, **, P.KameswaraRao***, G.S.S.S.S.V.Krishna Mohan****
*-*** Assistant Professor, Department of Electronics and Communication, Aditya Institute of Technology and Management, Tekkali.
**** Associate Professor, Department of Electronics and Instrumentation, Aditya Institute of Technology and Management, Tekkali
Periodicity:May - July'2014
DOI : https://doi.org/10.26634/jic.2.3.3058

Abstract

A multi tank level control system is an example of interacting systems. In this paper, the authors considered two first order systems connected in series, one rectangular tank which has inflow of liquid into the tank and out flow. The outflow of first tank is the inflow for second tank through a control valve. The control System is intended to maintain the level of liquid in the second tank at some predefined value irrespective of changes of inflow to the first tank. Fractional Order PID (FOPID) controller is a powerful controllers used in process industries to regulate and control process variables. The errors of the process variables are minimized proportionally, integrally and derivatively. Fractional Order PID controller gives better results for changes in set point and disturbance rejections. The change in inflow or changes in predefined values are treated as disturbances to the process. According to these disturbances, they need to implement better tuning algorithms to Fractional Order PID controllers. In this paper, they implemented different Fractional Order PID control algorithms on a multi tank level control System and their responses are observed and also compared with Conventional PID controllers.

Keywords

Multi capacity tank system, Fractional Order PID controller, MATLAB tool.

How to Cite this Article?

Sastry, D.V.L.N., Kumar, B.A., Rao, P.K., and Mohan, G.S.S.S.S.V.K. (2014). Tuning of Fractional Order PID Controller for Interacting Systems by Different Methods. i-manager’s Journal on Instrumentation and Control Engineering, 2(3), 19-24. https://doi.org/10.26634/jic.2.3.3058

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