A Framework for the Control Room of the Future: Human-in-the-loop MPC. Issue 34 (2019)

• Record Type: Journal Article
• Authors: Ghosh, Sambit; Bequette, B. Wayne
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 34(2019)
• Page Start: 252
• Page End: 257
• Publication Date: 2019
• Subjects: Model Predictive Control -- start-up -- human-in-the-loop -- safety -- operators; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2019.01.043
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: A general framework and preliminary results for the Control Room of the Future are presented. The inclusion of latest technology (e.g., natural language processing, facial recognition, big-data analytics) in control rooms, Model Predictive Control (MPC), and integration of human-in-the-loop is proposed. The paper focuses on process start-ups and uses a two-tank interacting nonlinear system to demonstrate the dynamic changes in the network topology of the plant. Three sets of simulations are conducted to highlight the MPC performance under human inputs to the system. A multiple-model MPC approach is used to solve the nonlinear control problem and the benefits of using it in human-in-the-loop systems are discussed. Future work includes using the network formulation as a supervisory fault detection layer, providing suggestions to the personnel via the Smart Control Room and implementing advanced models for predicting human decisions for safe process start-ups and transient operations.