Gas Turbine Optimal PID Tuning by Genetic Algorithm using MSE

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.

Authors:

• R. Oonsivilai
• A. Oonsivilai

Keywords:

• Gas Turbine
• PID
• Genetic Algorithm
• Transfer function.Mean of Squared Error

References:

[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