Process safeness index: Its definition and use in economic model predictive control to ensure process operational safety

Autor: Fahad Albalawi, Anas Alanqar, Panagiotis D. Christofides, Helen Durand
Rok vydání: 2017
Předmět:
Zdroj: ACC
DOI: 10.23919/acc.2017.7963629
Popis: In this work, we propose initial steps in the first systems safety approach that coordinates the control and safety systems through a common metric (a Safeness Index) and develop a controller formulation that incorporates this index. Specifically, this work presents an economic model predictive control (EMPC) scheme that utilizes a Safeness Index function as a hard constraint to define a safe region of operation termed the safety zone. Under the proposed EMPC, the closed-loop state of a nonlinear process can be guaranteed to enter the safety zone in finite time while maximizing the process economics. The proposed design is demonstrated using a chemical process example.
Databáze: OpenAIRE