Reliability enhancement with dependable model predictive control

Anthony Tri Tran; Q P Ha; Robert Hunjet

doi:10.1016/j.isatra.2020.06.027

Reliability enhancement with dependable model predictive control

ISA Trans. 2020 Nov:106:152-170. doi: 10.1016/j.isatra.2020.06.027. Epub 2020 Jul 6.

Authors

Anthony Tri Tran¹, Q P Ha², Robert Hunjet³

Affiliations

¹ Defence Science and Technology Group, 81 Labs, Third Ave, Edinburgh, SA 5111, Australia. Electronic address: anthony.tran@dst.defence.gov.au.
² Faculty of Engineering and Information Technology, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia. Electronic address: quang.ha@uts.edu.au.
³ Defence Science and Technology Group, 81 Labs, Third Ave, Edinburgh, SA 5111, Australia. Electronic address: robert.hunjet@dst.defence.gov.au.

PMID: 32653087
DOI: 10.1016/j.isatra.2020.06.027

Abstract

Operational Technology (OT) systems are merging towards a conjoint architecture with the advances in communication networks and emerging standards such as IEC/IEEE 60802 for industrial automation, automotive, power and energy and other areas. In this paper, we present a Dependable Control System (DepCS) with Model Predictive Control (MPC) algorithm that works in such architectures using multiple MPC controllers (of a feedback control loop) to enhance the operational reliability. We termed this as Dependable Model Predictive Control (DepMPC) system. The reliability enhancement of a DepMPC system is achievable thanks to the fault-tolerance of multiple MPC controllers and the tractable information flows with Time-Sensitive Networking (TSN). Here, our discussion was focused only on the logical connectivity and not the hardware architecture. The numerical simulations are studied with three multi-variable plants that have control constraints. In this study, we introduced a Replacement Controller (RC) to improve the control performance of the DepMPC system. The combination of both the Replacement Controller and Dependable Model Predictive Control (RC-DepMPC) system proves a promising solution for actual implementations.

Keywords: Dependable Model Predictive Control; Operational Technology system; Replacement Controller; Time-Sensitive Networking.