Enhancing Enumeration-Based Model Predictive Control for DC-DC Boost Converter with Event-Triggered Control

Abstract

This paper investigates the use of event-triggered model predictive control (MPC) to enhance the performance of an enumeration-based MPC for a DC-DC boost converter. Enumeration-based MPC utilizing a discrete-time switched model has been used to track a converter's output voltage to a given reference. The optimization process of enumeration-based MPC relies on evaluating the cost function for every enumerated sequence, which leads to a great number of computations. For time-triggered MPC, this optimization process is repeated at every control loop. To reduce online computations while maintaining comparable control performance, event-triggered MPC only runs the optimization problem when an event is triggered. The control performance of both time-triggered and event-triggered MPC methods are simulated and compared, with the advantage of using event-triggered MPC being clearly demonstrated.