LQR Based Optimal Tuning of PI Controller for a Conical Tank Level Process
Ka. Suriyaprabha1, D. Rathikarani2
1Ka. Suriyaprabha, Department of Instrumentation and Control Engineering, A.V.C. College of Engineering, Mayiladuthurai, TamilNadu, India.
2Dr. D.Rathikarani, Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, TamilNadu, India.
Manuscript received on 29 August 2019. | Revised Manuscript received on 19 September 2019. | Manuscript published on 30 September 2019. | PP: 1330-1334 | Volume-8 Issue-11, September 2019. | Retrieval Number: J96330881019/2019©BEIESP | DOI: 10.35940/ijitee.J9633.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 state-feedback 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.
Keywords: Conical tank, LQR, PI controller, PSO.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT