Design of adaptive backstepping with gravitational search algorithm for nonlinear system

Adaptive backstepping controller is designed for tracking purpose of nonlinear system with unknown parameter is injected to it. Gravitational search algorithm (GSA) is integrated with the designed controller in order to automatically tune its control parameters and adaptation gain since the tracking...

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Bibliographic Details
Main Authors: Md. Rozali, Sahazati (Author), Rahmat, Mohd. Fua'ad (Author), Husain, Abdul Rashid (Author), Kamarudin, Muhammad Nizam (Author)
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN), 2014.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Md. Rozali, Sahazati  |e author 
700 1 0 |a Rahmat, Mohd. Fua'ad  |e author 
700 1 0 |a Husain, Abdul Rashid  |e author 
700 1 0 |a Kamarudin, Muhammad Nizam  |e author 
245 0 0 |a Design of adaptive backstepping with gravitational search algorithm for nonlinear system 
260 |b Asian Research Publishing Network (ARPN),   |c 2014. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/52320/1/SahazatiMdRozali2014_DesignOfAdaptiveBacksteppingWithGravitational.pdf 
520 |a Adaptive backstepping controller is designed for tracking purpose of nonlinear system with unknown parameter is injected to it. Gravitational search algorithm (GSA) is integrated with the designed controller in order to automatically tune its control parameters and adaptation gain since the tracking performance of the controller relies on these parameters. Performance evaluation is observed based on the tracking output and the tracking error between reference input and the system's output. The effectiveness of the adaptive backstepping controller is verified by looking at the lowest amount value of Sum of Squared Error (SSE) attained from the simulation process. The results show that the system's output follow the reference input given with remarkably small tracking error 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering