Design of a robust discrete time sliding mode repetitive controller

Mitrevska, Maria; Cao, Zhenwei; Zheng, Jinchuan; Kurniawan, Edi

doi:10.1109/med.2015.7158821

Cited by 3 publications

(1 citation statement)

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“…And x 1 is the linear displacement, x 2 is the linear velocity, u(t) is the control signal, R is the resistance, m is the motor mass, k f is the force constant, k e is the back electromotive force. The d(t) can be considered as the lumped disturbances including the friction and ripple force, which are the same expression as (40)(41) in Reference 43.…”

Section: Application To a Permanent Magnet Linear Motormentioning

confidence: 99%

Low‐order sliding mode repetitive control for discrete‐time systems under complex disturbance environment

Jia

Longman

Dong

2021

Intl J Robust & Nonlinear

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A novel sliding mode repetitive control scheme is proposed for discrete‐time systems. It aims to address aperiodic disturbances, and simultaneously address a set of disturbances of known frequencies that can be unrelated. The sliding mode handles the former, and a repetitive control algorithm deals with the latter, creating a low‐order sliding model repetitive control law. The approach addresses each disturbance frequency individually. In contrast to the usual repetitive control approach, this allows one to address multiple unrelated frequencies without difficultly. Even when the addressed frequencies are harmonically related, but a relatively small number have significant error, this approach offers both substantial computation benefit, and benefit facilitating improved control of aperiodic disturbances. When both multiperiodic and aperiodic disturbances are present, the system trajectories can converge to a smaller switching band and keep moving within it. When there is only multiperiodic disturbance, the system trajectories will cross the switching surface within every specific steps when in the switching zone, and will converge to zero eventually. Simulation results demonstrate obvious advantages compared with the traditional method.

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Section: Application To a Permanent Magnet Linear Motormentioning

confidence: 99%