LQR based Control Strategies for a Spherical Tank Level Process

Abstract

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.