Abstract
Abstract In this paper, a closed loop pole location and the speed of response for a model helicopter in longitudinal movement is considered. An optimization problem is defined to find the optimal feedback gain matrix in order to access the best settling time. To solve this optimization problem three intelligent optimization methods are utilized: Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bees Algorithm (BA). In addition, an optimal controller based on linear quadratic regulator (LQR) is designed and the results are compared with the optimized full state feedback controller. The results show that using the intelligent optimization methods, better settling time can be obtained and consequently better performance for the system is achieved.
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