Predictive Multivariable Sliding Mode Control of Buffered Networked Systems

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Even though networked control systems offer many benefits, the presence of a communication network in the control loop leads to some unfavorable effects such as variable time delays. This paper proposes a new optimal predictive sliding mode control strategy based on switching reaching law for multivariable networked systems affected by disturbances. The effectiveness of the proposed technique is examined in simulations, where in addition, a comparison to existing switching and nonswitching reaching laws is made. Furthermore, the sensitivity of the control algorithms with respect to a first order actuator dynamics is considered. It is shown that the predictive switching reaching law reduces high frequency oscillations in the reaching phase characteristic for the switching reaching law. Moreover, the proposed approach can be applied even if the parasitic actuator dynamics are slow, in comparison to the switching and nonswitching reaching laws.
Original languageEnglish
Title of host publication2022 European Control Conference, ECC 2022
Pages981-986
Number of pages6
ISBN (Electronic)9783907144077
DOIs
Publication statusPublished - 2022
Event20th European Control Conference: ECC22 - London, Hybrider Event, United Kingdom
Duration: 12 Jul 202215 Jul 2022
https://ecc22.euca-ecc.org/

Publication series

Name2022 European Control Conference, ECC 2022

Conference

Conference20th European Control Conference
Abbreviated titleECC 2022
Country/TerritoryUnited Kingdom
CityLondon, Hybrider Event
Period12/07/2215/07/22
Internet address

Keywords

  • networked control systems
  • buffered networked systems
  • sliding mode control
  • buffering
  • time-varying delays
  • disturbance rejection
  • optimal control

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Control and Optimization
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Modelling and Simulation

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