Model Reference Adaptive Controller using MOPSO for a Non-Linear Boiler-Turbine
G. Suganya1, L. Jenifer Amla2, S. P. Dwarakesh3
1Ms. G. Suganya, Asst. Prof., in the Department of EEE at Sri Ramakrishana Institute of Technology, Coimbatore, India.
2Ms. L. Jenifer Amla, Asst. Prof., in the Department of EEE at Sri Ramakrishana Institute of Technology, Coimbatore, India.
3Mr. S. P. Dwarakesh, Asst. Prof., in the Department of EEE at Erode Sengunthar Engineering College, Tamil Nadu, India.
Manuscript received on September 02, 2014. | Revised Manuscript received on September 04, 2014. | Manuscript published on September 05, 2014. | PP: 87-91 | Volume-4 Issue-4, September 2014. | Retrieval Number: D2368094414/2014©BEIESP
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© The Authors. Published By: 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: Biologically inspired algorithms are attracting lot of researchers in recent decades. Particle swarm optimization is a recent algorithm based on the movement and intelligence of swarms. This paper proposes an application of Multi Objective Particle Swarm Optimization (MOPSO) for tuning the Model Reference Adaptive Controller (MRAC) for a non-linear BoilerTurbine system. The Boiler-turbine system is a Multi Input Multi Output (MIMO) system which is non-linear in nature and hence MOPSO is used to obtain the solution. This paper proposes a new approach combining a priority based lexicography method and the overall error for tuning the parameters of swarm in order to get the best optimal solution. The model was developed using MATLAB simulink tool and the results were compared.
Keywords: Boiler-Turbine system, MOPSO, MRAC ,Overall error.