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The designed sliding mode controller works satisfactorily with low chattering in presence of bounded disturbances.
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Hence, in order to present a more accurate controller, adaptive sliding mode controller working alongside with an identification method on the model is applied.
The implemented architecture of the proposed controller works in three different modes; namely card initialization mode, card read mode, and card write mode.
Using an analytical mechanical model that integrates flexibility of a wind turbine in terms of drive train torsion, tower flexure and blades out-of-plane flexure, a sliding mode controller was developed in this work.
In this work adaptive sliding mode controller is designed and implemented on a simulated high purity binary distillation column.
In this work, a sliding mode controller (SMC) with a fractional-order proportional plus integral plus derivative (FOPID) sliding surface for level control in a two-tank hybrid system is developed.
The aim of this work is the design of a sliding mode controller, which suitably combines simplex and super-twisting algorithms.
This work addresses this issue by developing a sliding mode controller based on the dominant modes of the system.
Earlier work by the authors showed the existence of a neural-aided sliding mode controller which could handle a wide range of actuator stuck faults.
This work deals with the design of a state observer based indirect adaptive fuzzy sliding mode controller for a class of nonaffine systems.
Open image in new window Fig. 5 Sliding mode controller.
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