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Gas Turbine Optimal PID Tuning by Genetic Algorithm using MSE

Authors: A. Oonsivilai, R. Oonsivilai

Abstract:

Realistic systems generally are systems with various inputs and outputs also known as Multiple Input Multiple Output (MIMO). Such systems usually prove to be complex and difficult to model and control purposes. Therefore, decomposition was used to separate individual inputs and outputs. A PID is assigned to each individual pair to regulate desired settling time. Suitable parameters of PIDs obtained from Genetic Algorithm (GA), using Mean of Squared Error (MSE) objective function.

Keywords: Genetic Algorithm, Gas Turbine, PID, Transfer function.Mean of Squared Error

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335434

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[1] Potvin, A. F. 1991. A unified solution to constrained configuration control law design. MSc. Thesis.Department of electrical engineering and computer science, Massachusetts Institute of Technology.
[2] P. Pao-La-Or, T. Kulworawanichpong, and A.Oonsivilai,2007. Frequency domain parameter estimation of a synchronous generator using bi-objective genetic algorithms. WSEAS Sep 15-17, Beijing, China.
[3] J.S. Kim, J.H. Kim, J.M. Park, S.M. Park, W.Y. Choe and H. Heo, 2008. Auto tuning PID controller based on improved genetic algorithm for reverse osmosis plant, World Academy of Science, Engineering and Technology vol.47
[4] A. Oonsivilai, and M.Boonruang,. Optimal PID Tuning for AGC system using Adaptive Tabu Search. WSEAS Sep 15-17, Beijing, China.
[5] K. Somsai, A. Oonsivilai,A. Srikaew, and T. Kulworawanichpong, 2007. Optimal PI controller design and simulation of a static var compensator using MATLAB-s SIMULINK. WSEAS Sep 15-17, Beijing, China
[6] Oonsivilai, R. Chaijareonudomroung, N., Huantanom, Y., and Oonsivilai, A. 2010. Extraction condition of Echinocactus grusonii. ICCBEE 2010: International Conference on Chemical, Biological and Environmental Engineering, World Academy of Science, Engineering and Technology, Paris, France, 27-29 October, pp: 366: 369.
[7] Oonsivilai, R. and Oonsivilai, A. 2010. Differential evolution application in temperature profile of fermenting. WSEAS TRANSACTION on SYSTEMS. Issue. ISSN: 1109-2777. Issue 6(9): 618-628.
[8] Oonsivilai, A. and Oonsivilai, R. 2009. A genetic algorithm application in natural cheese products. WSEAS TRANSACTIONS on SYSTEMS. Issue 1, Vol 8, January, ISSN : 1109 - 2777, pp: 44 - 54.
[9] Oonsivilai, A. and Oonsivilai, R. 2008 Parameter Estimation of Frequency Response Twin-Screw Food Extrusion Process using Genetic Algorithm. WSEAS TRANSACTIONS on SYSTEMS. Issue 7 Volume 7, July, ISSN: 1109 - 2777