This paper presents a hierarchical control scheme for interconnected linear systems. At the higher layer, a robust centralized Model Predictive Control (MPC) algorithm based on a reduced order dynamic model of the overall system optimizes a long-term performance index penalizing the deviation of the state and the control input from their nominal values. At the lower layer, local MPC regulators, possibly working at different rates, are designed for the full order models of the subsystems to refine the control action computed at the higher layer. A simulation experiment is presented to describe the implementation aspects and the potentialities of the proposed approach

A hierarchical multi-rate MPC scheme for interconnected systems

M. Farina;X. Zhang;R. Scattolini
2018

Abstract

This paper presents a hierarchical control scheme for interconnected linear systems. At the higher layer, a robust centralized Model Predictive Control (MPC) algorithm based on a reduced order dynamic model of the overall system optimizes a long-term performance index penalizing the deviation of the state and the control input from their nominal values. At the lower layer, local MPC regulators, possibly working at different rates, are designed for the full order models of the subsystems to refine the control action computed at the higher layer. A simulation experiment is presented to describe the implementation aspects and the potentialities of the proposed approach
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1046590
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