Optimal Backstepping Control for Coullet Chaotic Nonlinear System via PSOPC Algorithm

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 613

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شناسه ملی سند علمی:

JR_IJMEC-5-14_012

تاریخ نمایه سازی: 16 فروردین 1395

چکیده مقاله:

In this paper, an optimal backstepping controller is designed using particle swarm optimization with passive congregation (PSOPC) algorithm for controlling the chaos of Coullet chaotic system. The backstepping method consists of parameters with positive values. The parameters are usually chosen optional by trial and error method. The improper selection of the parameters causes improper system performance. The proposed optimal backstepping controller determines theparameters automatically, intelligently and without trial and error by minimizing the integral of time multiplied absolute error (ITAE) and squared control signal using PSOPC Algorithm. By this new controller, the fastest response is achieved with the least control effort, i.e. the system chaos iscontrolled in the least time and with the lowest energy. Finally, the effectiveness of the proposedcontroller is shown by the control of chaos of Coullet chaotic system

نویسندگان

Parviz Alinejad

Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran

Aghil Keymanesh

Mechanical Engineering Department, Shahrood University of Technology, Shahrood, Iran

Hadi Nouri

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Reza Gholipour

Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran