Competing Advanced Process Control via an Industrial Automation Cloud Platform

Autor: Rokebrand, L. L., Burchell, J. J., Olivier, L. E., Craig, I. K.
Rok vydání: 2020
Předmět:
Druh dokumentu: Working Paper
Popis: This paper proposes an innovative approach for the advanced control of an industrial process via an automation cloud platform. Increased digital transformation and advances in Industrial Internet of Things (IIoT) technologies make it possible for multiple vendors to compete to control an industrial process. An industrial automation cloud platform facilitates the interaction between advanced process control (APC) vendors and the process. A selector, which forms part of the platform, is used to determine the best controller for a process for any given time period. The article starts with a general overview of platform businesses, platforms aimed at industry, and the steps required to build such platforms. Issues that need to be addressed to make APC via an automation platform practically viable are discussed including what process information to provide to APC vendors, continuous evaluation of controllers even when not in control of the process, bumpless transfer, closed-loop stability, constraint handling, and platform security and trust. A case study is given of competing APCs via an industrial automation cloud platform. The process used in the study is a surge tank from a bulk tailings treatment plant, the aim of which is to keep the density of the tank out flow constant while maintaining a steady tank level. A platform facilitates the competition of three vendors for control of this process. It is shown that the cloud platform approach can provide the plant access to a superior controller without the need for directly procuring the services of an exclusive vendor.
Comment: 19 pages, 15 figures, 4 tables
Databáze: arXiv