Discrete-Time Sliding-Mode Control With a Desired Switching Variable Generator

Bartoszewicz, Andrzej; Adamiak, Katarzyna

doi:10.1109/tac.2019.2934393

Cited by 52 publications

(41 citation statements)

References 26 publications

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“…Various works have appeared in the last years to fill the gap between the continuous and the discrete-time counterparts; see previous studies [28][29][30] just to cite a few. Nowadays, discrete-time SMC is popular among control engineers, as one can find in the literature many examples of applications in various fields of industrial interest [31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Digital sliding mode controllers for active control of ground vehicles

Lúa

Gennaro

Guzmán³

et al. 2021

Asian Journal of Control

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This paper aims at designing, in the discrete-time setting and using sliding mode techniques, some controllers ensuring the tracking of desired references of lateral and yaw velocities for a ground vehicle with active front steering and rear torque vectoring actuators. The vehicle is described by an enhanced discrete-time model, recently presented in the literature. These three controllers have been designed considering the modified equivalent control method for perturbation attenuation, the discrete-time-like super-twisting algorithm, and the discrete-time reaching law. They have been tested with a simulation study using CarSim, where the three controllers are compared under parametric variations, external perturbations, and different sampling periods.

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Section: Introductionmentioning

confidence: 99%

Digital sliding mode controllers for active control of ground vehicles

Lúa

Gennaro

Guzmán³

et al. 2021

Asian Journal of Control

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“…So, the elimination of the chattering phenomenon has attracted more and more attention recently. For example, adaptive sliding mode control [14,15], fuzzy sliding mode control [16], discrete-time sliding mode control [8,17], neural dynamic sliding mode control [18] and integral sliding mode control [19] have been proposed to mitigate the adverse effects of the chattering phenomenon. It has been reported that designing a continuous sliding mode control law to replace the discontinuous law, e.g., continuous TSMC (CTSMC) can reduce the impact of the chattering [20,21].…”

Section: Introductionmentioning

confidence: 99%

Design of Composite Disturbance Observer and Continuous Terminal Sliding Mode Control for Piezoelectric Nanopositioning Stage

et al. 2021

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The nonlinearities of piezoelectric actuators and external disturbances of the piezoelectric nanopositioning stage impose great, undesirable influences on the positioning accuracy of nanopositioning stage systems. This paper considers nonlinearities and external disturbances as a lumped disturbance and designs a composite control strategy for the piezoelectric nanopositioning stage to realize ultra-high precision motion control. The proposed strategy contains a composite disturbance observer and a continuous terminal sliding mode controller. The composite disturbance observer can estimate both periodic and aperiodic disturbances so that the composite control strategy can deal with the disturbances with high accuracy. Meanwhile, the continuous terminal sliding mode control is employed to eliminate the chattering phenomenon and speed up the convergence rate. The simulation and experiment results show that the composite control strategy achieves accurate estimation of different forms of disturbances and excellent tracking performance.

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“…Sliding mode control (SMC) has been intensive focus on nonlinear systems, the main reasons are that the control method with sliding mode manifold is insensitive to parametric variations, increasing the robustness of controller in nonlinear systems. Given to the advantages, the SMC has been widely applied in complicate nonlinear systems to solve the tracking control problems, such as robotic systems, 1‐3 unmanned aerial vehicle (UAV) systems, 4,5 and power generator systems 6‐8 …”

Section: Introductionmentioning

confidence: 99%

Sliding mode tracking control using finite‐time differentiator in high‐orders nonlinear systems with output stochastic signals

Yan

2020

Intl J Robust & Nonlinear

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This article presents sliding mode tracking control using finite-time nonlinear differentiator (FND) to the high-orders nonlinear systems that states are unknown and the output measurement signals involves stochastic disturbances. The FND using singular perturbation technique is applied to estimate the unknown states in the tracking system, and not rely on the model information under the condition of output stochastic signals. The stochastic noises involved in the output measurement signals are restrained sufficiently by the FNDs. The design of sliding mode tracking controller using FND reduces the chattering phenomenon efficiently. The analysis of systems stability and differentiator robustness is demonstrated. The comparative simulation results show that the sliding mode controller using FND track the desired trajectory in high accuracy with tracking errors fast convergence.

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Discrete-Time Sliding-Mode Control With a Desired Switching Variable Generator

Cited by 52 publications

References 26 publications

Digital sliding mode controllers for active control of ground vehicles

Digital sliding mode controllers for active control of ground vehicles

Design of Composite Disturbance Observer and Continuous Terminal Sliding Mode Control for Piezoelectric Nanopositioning Stage

Sliding mode tracking control using finite‐time differentiator in high‐orders nonlinear systems with output stochastic signals

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