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The adaptive sliding mode controller performance shows adaptive properties as its performance improves with time.
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The proposed fractional-order sliding mode controller exposes better control performance, ensures fast and robust stability of the closed-loop system, eliminates the disturbances and diminishes the chattering problem.
This model has been subsequently used for higher order sliding mode controller design and performance evaluation.
The nonlinear model of a research reactor (Pakistan Research Reactor-1) has been used for higher order sliding mode controller design and performance evaluation.
Concerning the control parts, a Fourier series-based adaptive sliding mode controller with Hoo tracking performance (FSB-ASMC+ H∞) is proposed to control the systems.
According to the results, the nonlinear sliding mode controller guarantees the robust performance against a wide range of parametric uncertainties.
A sliding mode controller is formulated through performance parameters which include the settling time and overshoots in the proof mass.
Simulations results are presented to demonstrate the effectiveness of the proposed sliding mode controller in terms of performance, robustness and stability.
Finally, a non-augmented low dimensional digital observer with a long input or output dead time is constructed for the implementation of the digitally redesigned sliding mode controller, to improve the performances of multiple time-delay dynamical processes.
We proposed a fuzzy sliding mode controller (FSMC) to control an active suspension system and evaluated its control performance.
The simulation results are compared with the conventional sliding mode controller to show the superior performance of the proposed control scheme.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com