Abstract
This paper evaluates the performance of an event-triggered model predictive control (MPC) for a DC-DC boost converter. Event-triggered MPC is used to enhance the computational performance of an enumeration-based MPC controlled boost converter by triggering the optimal control problem (OCP) only when an event is triggered as opposed to solving the OCP at every time step. Accordingly, the event-trigger threshold significantly impacts the number of times the OCP is solved. This paper numerically investigates such impact by evaluating various threshold values. The results of this study provide a general guidance to the selection of the threshold value to meet specific system criteria, e.g., balance between computation performance and control performance.
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