Super-twisting-algorithm-based terminal sliding mode control for a bioreactor system
type: Item
instance of: scholarly article
title: Super-twisting-algorithm-based terminal sliding mode control for a bioreactor system
zbMATH Open document ID: 1470.93043
DOI: 10.1155/2014/495680
author: Sendren Sheng-Dong Xu
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: This study proposes a class of super-twisting-algorithm-based (STA-based) terminal sliding mode control (TSMC) for a bioreactor system with second-order type dynamics. TSMC not only can retain the advantages of conventional sliding mode control (CSMC), including easy implementation, robustness to disturbances, and fast response, but also can make the system states converge to the equivalent point in a finite amount of time after the system states intersect the sliding surface. The chattering phenomena in TSMC will originally exist on the sliding surface after the system states achieve the sliding surface and before the system states reach the equivalent point. However, by using the super twisting algorithm (STA), the chattering phenomena can be obviously reduced. The proposed method is also compared with two other methods: (1) CSMC without STA and (2) TSMC without STA. Finally, the control schemes are applied to the control of a bioreactor system to illustrate the effectiveness and applicability. Simulation results show that it can achieve better performance by using the proposed method.
Mathematics Subject Classification ID: 93B12
Mathematics Subject Classification ID: 92C45
zbMATH DE Number: 7022487
Wikidata QID: Q59038769
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/495680
OpenAlex ID: W2133004940
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description: scientific article; zbMATH DE number 7022487