Open AccessLQR based Control Strategies for a Spherical Tank Level Process
Author(s) -
Ka. Suriyaprabha*,
D. Rathikarani
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1578.029420
Subject(s) - control theory (sociology) , weighting , nonlinear system , controller (irrigation) , linear quadratic regulator , process (computing) , optimal control , full state feedback , work (physics) , control engineering , process control , state (computer science) , engineering , control (management) , computer science , mathematical optimization , mathematics , mechanical engineering , algorithm , artificial intelligence , medicine , physics , quantum mechanics , biology , agronomy , radiology , operating system
Spherical tank finds wide application in gas plants and process industries, petro chemical industries, paper manufacturing and water treatment industries. In a spherical tank, controlling the level is a critical entity. Due to change in shape, the system displays high nonlinear behavior which in turn exhibits the non-linear characteristics. The system’s nonlinearity complicates in the design of conventional PI controllers. In this work, The PI controller gains are formulated as the optimal state-feedback gains. A PSO has been accustomed optimally discover the weighting matrices, related to the various optimum state-feedback regulator design whereas minimizing ISE and the controller effort. The performance of the proposed PSO based LQRPI controller is contrasted with those of GA-LQRPI and LQRPI controllers.