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Bees Algorithm based Intelligent Backstepping Controller Tuning for Gyro System

عنوان مقاله: Bees Algorithm based Intelligent Backstepping Controller Tuning for Gyro System
شناسه ملی مقاله: ICNMO01_313
منتشر شده در کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی در سال 1391
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
In this paper, an intelligent nonlinear controller is presented by intelligent tuning of the backstepping method parameters using Bees Algorithm. The proposed controller is utilized to control of chaos of Gyro system. The backstepping method consists of parameters which could have positive values. The parameters are usuallychosen optional by trial and error method. The improper selection of the parameters leads to inappropriateresponses or even may lead to instability of the system. The proposed optimal backstepping controllerwithout trial and error determines the parameters of backstepping controller automatically and intelligentlyby minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared controller output. Finally,the efficiency of the proposed intelligent backstepping controller is illustrated by implementing the methodon the Gyro chaotic system

کلمات کلیدی:
Control of chaos, Gyro system, backstepping method, Bees Algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/187903/