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Distributed model predictive control algorithm based on event-trigger | IEEE Conference Publication | IEEE Xplore

Distributed model predictive control algorithm based on event-trigger


Abstract:

In order to reduce the heavy communication burden of cooperative distributed model predictive control (DMPC), A DMPC algorithm based on event-trigger is proposed to balan...Show More

Abstract:

In order to reduce the heavy communication burden of cooperative distributed model predictive control (DMPC), A DMPC algorithm based on event-trigger is proposed to balancing the control performance and communication burden through optimizing the interconnection structure of subsystems. An event-trigger using the system Lyapunov function is constructed to avoid solving the introduced MINLP optimization directly, the optimal interconnection structure will be updated only when the event-trigger is triggered. The feasibility of the proposed algorithm in system performance and communication burden decrease is validated by the load frequency control (LFC) problem simulation of interconnected power system.
Date of Conference: 17-20 December 2017
Date Added to IEEE Xplore: 08 February 2018
ISBN Information:
Conference Location: Gold Coast, QLD, Australia

References

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