سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۷

نویسنده(ها):

Alireza khosravi – Faculty of electrical and computer engineering, Babol (oushirvani) university or technology,
Reza gholipour –
Hamed mojallali – University of Guilan
Jalil addeh –

چکیده:

In this paper, an optimal backstepping controller is designed using unified particle swarm optimization (UPSO) algorithm for controlling the chaos of Coullet chaotic system.The backstepping method involves positive parameters that are specified optionally through trial and error process. The improper selection of theparameters leads to inappropriate responses or even may lead to instability of the system. The proposed optimal backstepping controller without trial and error determines the parameters of backstepping controller automatically and intelligently by minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared controller output. Finally, the effectiveness of the proposed controller is shown by the control of chaos of Coullet chaotic system