
LQR Based Optimal Tuning of PI Controller for a Conical Tank Level Process
Author(s) -
Ka. Suriyaprabha*,
D. Rathikarani
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9633.0981119
Subject(s) - control theory (sociology) , linear quadratic regulator , conical surface , pid controller , weighting , controller (irrigation) , optimal control , engineering , computer science , mathematics , control engineering , control (management) , mathematical optimization , temperature control , physics , mechanical engineering , agronomy , artificial intelligence , acoustics , biology
The liquid level control in conical tank is tough task owing to variable cross-sectional area. The replica of the conical tank is recognized using standard step test technique and is approximated to be FOPTD model. In this paper, PSO based LQR-PI controller has been wished-for conical tank system. The PI controller gains are formulated as the optimal state-feedback gains. A PSO has been accustomed optimally to discover the weighting matrices, related to the various optimum statefeedback regulator design whereas minimizing ISE and the controller effort. The performance of the proposed PSO based LQR-PI controller is contrasted with those of GA-LQR-PI and LQR-PI controllers