Observer-Based Control for a Modified Duffing System Using Twisting Algorithm
Publish place: Journal of Advances in Computer Research، Vol: 4، Issue: 4
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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JR_JACR-4-4_008
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
This paper presents a new observer-based control scheme for a class ofnonlinear systems. In the proposed method, nonlinear observer and twistingalgorithm controller are employed to realize a sensor-less control strategy forcomplex systems which makes use of non measurable process information instead ofinstalling as many sensors as possible. Due to lack of availability of the complexsystem states, controlling of them will be faced with undesirable performance. Thisdeficiency can be solved with adding observer in the control strategy. In order toestimate unavailable states, an adaptive neural network observer is considered inthe present article. This observer is tuned online and no exact information of thenonlinear function in the observed system is required. Also, to realize controlpurpose, 2nd order sliding mode controller called twisting algorithm is located inthe close loop structure. This control strategy is implemented on the modifiedDuffing chaotic system and the simulation results confirm the capability of thismethod.
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Authors
Milad Malekzadeh
Young Researchers and Elite Club, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
Alireza Khosravi
Faculty of Electrical and Computer Engineering, Babol Univ. of Tech., Babol, Iran