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Integrating Process Safety Considerations in Lyapunov-Based Model Predictive Control

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Abstract In this work, two novel Lyapunov-based model predictive control (LMPC) designs that can ensure process operational safety (termed safety-LMPC) are presented. The two LMPC designs can drive the closed-loop… Click to show full abstract

Abstract In this work, two novel Lyapunov-based model predictive control (LMPC) designs that can ensure process operational safety (termed safety-LMPC) are presented. The two LMPC designs can drive the closed-loop state to a safety region (a level set within the stability region where process operational safety is ensured) at a prescribed rate, and also can drive the closed-loop state to a safe level set within the stability region of another steady-state. To demonstrate the effectiveness of the proposed schemes, a comparison between the safety-LMPC, which effectively integrates feedback control and safety considerations, and the classical LMPC method is presented with a chemical process example.

Keywords: model predictive; lyapunov based; control; safety; process; based model

Journal Title: IFAC-PapersOnLine
Year Published: 2017

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