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Reliability enhancement with dependable model predictive control.

Anthony Tri Tran1, Q P Ha2, Robert Hunjet1

  • 1Defence Science and Technology Group, 81 Labs, Third Ave, Edinburgh, SA 5111, Australia.

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|July 13, 2020
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Summary
This summary is machine-generated.

Operational Technology systems benefit from a new Dependable Model Predictive Control (DepMPC) system. This fault-tolerant approach enhances reliability in industrial automation using multiple controllers and Time-Sensitive Networking.

Keywords:
Dependable Model Predictive ControlOperational Technology systemReplacement ControllerTime-Sensitive Networking

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Area of Science:

  • Industrial Automation
  • Control Systems Engineering
  • Networked Systems

Background:

  • Operational Technology (OT) systems are converging with IT architectures, driven by advancements in communication networks and standards like IEC/IEEE 60802.
  • This convergence necessitates enhanced reliability and fault tolerance in control systems for critical sectors such as industrial automation, automotive, and energy.

Purpose of the Study:

  • To introduce a Dependable Control System (DepCS) utilizing multiple Model Predictive Control (MPC) controllers for improved operational reliability in converged OT architectures.
  • To present the Dependable Model Predictive Control (DepMPC) system, focusing on logical connectivity and fault tolerance facilitated by Time-Sensitive Networking (TSN).

Main Methods:

  • Development and simulation of a Dependable Model Predictive Control (DepMPC) system integrating multiple MPC controllers.
  • Introduction of a Replacement Controller (RC) to augment the DepMPC system's performance.
  • Numerical simulations conducted on three multi-variable plants with control constraints to evaluate system performance.

Main Results:

  • The DepMPC system demonstrates enhanced operational reliability through the fault tolerance of multiple MPC controllers and efficient information flow via TSN.
  • The integration of the Replacement Controller (RC) with the DepMPC system (RC-DepMPC) significantly improves control performance.
  • Simulations validated the effectiveness of the RC-DepMPC system in handling control constraints.

Conclusions:

  • The proposed RC-DepMPC system offers a promising and robust solution for enhancing reliability and control performance in modern, converged OT environments.
  • The study highlights the potential of fault-tolerant, multi-controller MPC architectures leveraging TSN for industrial automation and related fields.