TY - JOUR
TI - Perbandingan Algoritma Particle Swarm Optimization dan Differential Evoluitonal Algorithm untuk Perancangan Umpan Balik Keadaan : Studi Kasus Gerak Lateral Pesawat F-16
AU - Anis, Madchan; Widowati, Widowati; Tjahjana, R. Heru
IS - Volume 20 Nomor 4 Tahun 2012
PB - SAINS DAN MATEMATIKA
JO - SAINS DAN MATEMATIKA
PY - 2012
UR - http://ejournal.undip.ac.id/index.php/sm/article/view/6633
AB - The purpose of Linear Quadratic Regulator Â (LQR) optimal control system is to stabilize the system, so that theÂ output of the system towards a steady state by minimizing the performance index. LQR-invinite horizon is a specialÂ case of LQR in thecontinuous time area where the terminal time of the performance index value for infinite timeÂ and infinite output system is zero. Performance index will be affected by the weighting matrix. In this paper willÂ be discussed about the application of Â Particle Swarm Optimization algorithm Â (PSO) and Â Differential Evolution Algorithm (DEA) to determine the state feedback of a closed loop system and weighting matrices in the LQR toÂ minimize performance index. PSO algorithm is a computational algorithm inspired by social behavior of flocks ofÂ birds and fishes in searching of food. While the DEA is an optimization algorithm that is adopted from evolutionÂ and genetics of organisms. Simulations of the PSO algorithm will be compared with DEA. From the simulationsÂ results is found that DEA is faster then PSO to get convergence to the optimal solution.Keywords: LQR-invinite horizone, Particle Swarm Optimization (PSO), Differential Evolution Algorithm (DEA ), umpan balikÂ keadaan, sistem lup tertutup