A Causal Model-based Planner for the Reconfiguration of Continuous Processes

被引：0

作者：

Reinartz, Christopher ^{[1
]}

Enevoldsen, Thomas Thuesen ^{[1
]}

Galeazzi, Roberto ^{[1
]}

Ravn, Ole ^{[1
]}

机构：

[1] Tech Univ Denmark, Dept Elect Engn, Automat & Control Grp, DK-2800 Lyngby, Denmark

来源：

2021 EUROPEAN CONTROL CONFERENCE (ECC) | 2021年

关键词：

ROOT CAUSE ANALYSIS; DIAGNOSIS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a planning framework for discrete planning of human operations in highly automated industrial plants, where manual and automatic control coexist. Based solely on qualitative knowledge of the controlled continuous process represented through signed directed graphs, the planner exploits a greedy algorithm to determine the optimal action for the human operator upon changes in the process' operating conditions or reconfiguration of the control system due to faulty conditions. The planner results in a decision support tool that instructs the human operator on the best course of action. The planning framework and the resulting planner are demonstrated on a quadruple-tank system.

引用

页码：1751 / 1756

页数：6

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