Observer-Based Control for a Modified Duffing System Using Twisting Algorithm

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.

کلیدواژه ها:

twisting algorithm ، adaptive neural network observer ، Modified Duffing system ، chaos