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Nonsmooth funnel transformation function-based discrete-time sliding-mode control with deterministic performance margin for servo systems.

Authors :
Cheng, Yun
Ren, Xuemei
Zheng, Dongdong
Li, Linwei
Source :
ISA Transactions; Aug2023, Vol. 139, p675-684, 10p
Publication Year :
2023

Abstract

This paper proposes a nonsmooth funnel transformation function-based discrete-time sliding-mode control strategy for the discrete-time servo systems with unknown frictions and disturbances. For obtaining a more accurate discrete-time system model, a filter-based adaptive identification algorithm (FAIA) is introduced, where the unknown measurement noises are considered. Based on the identified system model and a novel discrete-time nonsmooth funnel transformation function (improving the tracking performances), a discrete-time sliding-mode surface is designed to confine the tracking error to a smaller funnel region compared with the predefined one, which has a deterministic performance margin related to the upper bound of the lumped disturbance. Furthermore, selections of steady-state funnel boundary and sliding-mode surface parameter can be guided theoretically according to the upper bound of the lumped disturbance. Experimental results show that the tracking error is guaranteed in the predefined funnel with a deterministic performance margin by using the proposed control strategy. • Taking advantages of nonsmooth error transformation and funnel error surface, a novel discrete-time nonsmooth funnel transformation function (NFTF) is proposed to confine the tracking error and improve its performances. • An NFTF-based discrete-time sliding-mode control (DSMC) is proposed to constrain the tracking error in a predefined funnel zone with a deterministic performance margin. • The selections of steady-state performance boundary and sliding-mode surface parameter are determined by an inequality involving the upper bound of lumped disturbance, which removes the "trial-and-error" approach. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
DISCRETE-time systems
ALGORITHMS

Details

Language :
English
ISSN :
00190578
Volume :
139
Database :
Supplemental Index
Journal :
ISA Transactions
Publication Type :
Academic Journal
Accession number :
169968798
Full Text :
https://doi.org/10.1016/j.isatra.2023.03.050