The week's pick
Random Articles
Reseach Article
Development and Comparative Analysis of an Adaptive Fuzzy Logic LFC control model for Gain Scheduling using Fuzzy Logic and Adaptive Fuzzy Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 14 |
| Year of Publication: 2010 |
| Authors: Amanpreet Kaur, Parampreet Singh, Diya Gupta, Ashish Kumar, Inderpal Singh |
10.5120/308-475
|
Amanpreet Kaur, Parampreet Singh, Diya Gupta, Ashish Kumar, Inderpal Singh . Development and Comparative Analysis of an Adaptive Fuzzy Logic LFC control model for Gain Scheduling using Fuzzy Logic and Adaptive Fuzzy Techniques. International Journal of Computer Applications. 1, 14 ( February 2010), 16-20. DOI=10.5120/308-475
Abstract
In this paper, the recent data based artificially intelligent techniques like fuzzy and neural network have been customized and used .The application/case study has been taken. Fuzzy provides a robust inference mechanism with no learning and adaptability and artificial neural network provides learning and adaptability. Artificial neural networks and fuzzy systems have been successfully applied to the LFC problem with rather promising results. In this paper, an adaptive fuzzy gain scheduling scheme for conventional PI controllers has been simulated and tested for off-nominal operating conditions. From the simulation and the result obtained in this paper, it has been shown that the proposed adaptive fuzzy logic controller offers better performance than fixed gain controllers& fuzzy gain controller. Comparative analysis of percentage error of gain using fuzzy& adaptive fuzzy has also been done in this paper.
References
- Brown, M. and Harris, C. J.,"A Nonlinear Adaptive Controller: A Comparison between Fuzzy Logic Control and Neurocontrol", IMA Journal of Mathematical Control and Information, pp 239-65,1991
- Johansen, T. (1994)," Fuzzy Model Based Control : Stability, Robustness & performance Issues" IEEE transaction on Fuzzy system, Vol.2, pp221-223, 1994.
- Momoh, J.A. Ma, X.W. Tomsovic, K. Overview and literature survey of fuzzy set theoryin power systems" IEEE Transaction On Power Systems, Volume.10, Issue: 3 pp. 1676-1690, 1995.
- Liu, K. Subbarayan, S. Shoults, R.R. Manry, M.T. Kwan, C. Lewis, F.I. Naccarino, J. , "Comparison of very short-term load forecasting techniques" IEEE Transactions on Power Systems , Volume.11, Issue 2, pp. 877-882, May 1996.
- D. Matko, K. KavSek-Biasizzo, J. Kocijan, Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000 Ljubljana, Slovenia; " Neuro-fuzzy Model-based Control"
- Talaq J,Al-Basri F ffiliation(s)University of Bahrain, Department of Electrical Engineering, P.O. Box 32038, BAHREIN, " Adaptive fuzzy gain scheduling for load frequency control", IEEE transactions on power systems ISSN 0885-8950 , volume.14, pp. 145-150 (26 ref.), 1999.
- Vlaisavljevic, D.; Djukanovic, M.B.; Sobajic, D.J.; Babic, B.S., "Fuzzy linear programming based optimal power system rescheduling including preventive.
- Hiyama, T. Tomsovic, K. , " Current status of fuzzy system applications in power systems" IEEE International Conference on Systems, Man, and Cybernetics, Volume.6, pp. 527-532 ,1999.
- Chun-Liang Lin,Taichung and Huai-Wen , Taiwan, Republic of China. , "Adaptive Fuzzy Gain Scheduling in Guidance System Design", Journal of guidance, control, and dynamics,Volume. 24, No. 4, July-August 2001.
- Y.S. Brar, Jaspreet S. Dhillon, D.P. Kothari "Multiobjective load dispatch by fuzzy logic based searching weightage pattern",Electric Power Systems Research , pp.149-160, 2002.
- Amalia Sergakia , Kostas Kalaitzakis, " A fuzzy knowledge based method for maintenance planning in a power system",Journal on Reliability Engineering & System Safety ,Volume.77, Issue 1, pp.19-30, 2002.
- Didier Duboi, Helene Fargier and Philippe Fortemps, "Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge" European Journal of Operational Research, Volume147, Issue 2, pp.231-252, 2003.
- Francisco Jurado, Antonio Cano, Manuel Ortega Department of Electrical Engineering, University of Jaen, Linares (Jaen), "International Journal of Electrical Engineering Education", ISSN: 0020-7209,Volume 40 Issue 1, pp. 1-12, 2006.
- A.B. Beevi and R. Iyer, " A New Approach For The Solution Of Economic Load Dispatch Using Fuzzy Logic Controller" Asian Power and Energy Systems, pp. 560-567, 2007 .
Index Terms
Keywords