Model Predictive Control for Process Operational Safety: Utilizing Safeness Index-Based Constraints and Control Lyapunov-Barrier Functions
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Abstract In this paper, two different model predictive control (MPC) methodologies that can account for process operational safety are compared. Specifically, we first develop the Safeness Index, which represents the relative safeness of the process state in state-space, and is used to form a state constraint in MPC to guarantee process safety. Then, a Control Lyapunov-Barrier Function-based economic model predictive controller (CLBF-EMPC) is developed to account for the unsafe region in the design of the Control Lyapunov-Barrier Function (CLBF), and thus ensures closed-loop stability and safety simultaneously.
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