Penentuan Matriks Pembobot Pada Kontrol Optimal Menggunakan Adaptive Particle Swarm Optimization
DOI:
https://doi.org/10.30606/aptk.v8i1.568Keywords:
Adaptive particle swarm optimization, integral absolut error, kontrol optimal, matriks pembobotAbstract
Artikel ini menyajikan sebuah pendekatan dalam pemilihan matriks pembobot pada desain kontrol optimal menggunakan adaptive particle swarm optimization. APSO merupakan modifikasi PSO standar dengan mempertimbangkan pembobotan dan penerapan multi globalbest. APSO akan digunakan untuk menentukan matriks pembobot yang tepat guna meningkatkan kinerja dari kontrol. Simulasi diberikan untuk mengilustrasikan prosedur dalam desain kontrol dan perbandingan performa dari metode APSO dan PSO standar ditinjau dari nilai integral absolut error (IAE).References
Abdelbar, A.M., Abdelshahid, S., dan
Wunsch, D.C., Gaussian versus
cauchy membership functions in
fuzzy PSO. Proceeding of
International Joint Conference on
Neural Network, 978-1-4244-1379-
, Halaman 2902-2907, Agustus
Abdelbar, A.M., Abdelshahid, S., dan
Wunsch, Fuzzy pso : A
generalization of particle swarm
optimization. Proceeding of
International Joint Conference onNeural Network, (0-7803-9048-2/05):1086-1091, Juli 2005.
Aranda, J., de la Cruz,J.M. , Parrilla, M., and Ruiperez,P., Design of a linear quadratic optimal control of aircraft flight control by genetic algorithm. Portuguese Conference of Automatic Control, Halaman 394-399, 2000.
Bratton, D. dan Kennedy, J., Defining a standard for particle swarm optimization. Proceeding of the 2007 IEEE Swarm Intelligence Symposium, (1-4244-0708-7/07), 2007
Bryson, A.E. dan Y.C. Ho., Applied Optimal Control, Hemisphere, New York,1975.
Burl, J.F., Linear Optimal Control H2 and H∞ Methods, Addison-Wesley,California, 1998.
Byoung-Mun Min, Hyo-Sang Shin, dan Min-Jea Tahk. Control system design for autonomous helicopter using particle swarm optimization. 25th International Congress of the Aeronautical Science, Halaman 1-7, 2006.
Dracopoulos, D.C., Autolanding of commercial aircrafts by genetic programming. Proceeding of The World Congress on Engineering I, 978-988-98671-5-7, Juli, 2007.
Lewis, F.J. dan Syrmos, V.L., Optimal Control 2nd edition. John Wiley & Sons, New York, 1995.
Mobaieen, S., Mohamady, B., Ghorbani, H., dan Rabii, A., Optimal control design using evolutionary algorithms with application to an aircraft landing system, Journal of Basic and Applied Scientific Research, (2(2)1876-1882):1876-1882, 2012.
Mobayen, S., Rabiei, A., Moradi, M., dan Mohammady, B., Linear quadratic optimal control system design using particle swarm optimization algorithm. International Journal of the Physical Sciences, 6(30):6958-6966, November, 2011.
Swaroopan, N.M.J dan Somasundaram, P., Fuzzified PSO algorithm for DC-OPF of interconnected power system. Journal of Theoretical and Applied Information Technology, Halaman 44-52, 2010.
Wang, L.X., A Course in Fuzzy System and Control, Prentice-hall, 1997
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