Penentuan Matriks Pembobot Pada Kontrol Optimal Menggunakan Adaptive Particle Swarm Optimization

Authors

  • Khozin Mu’tamar Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Riau
  • Janson Naiborhu Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, ITB

DOI:

https://doi.org/10.30606/aptk.v8i1.568

Keywords:

Adaptive particle swarm optimization, integral absolut error, kontrol optimal, matriks pembobot

Abstract

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

Jurnal

Downloads

Published

2016-01-20