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Abstract-Several recent techniques from hybrid and optimal control are evaluated on a power electronics benchmark problem. The benchmark involves a number of practically interesting operating scenarios for a fixed-frequency step-up dc-dc converter. The specifications are defined such that good performance can only be obtained if the switched and nonlinear nature of the problem is respected during the design phase.

SUMMARYThis paper proposes three synthesis methods for controlling power converters. The three control strategies yield state feedback control laws that are easy to implement. The first method is a stabilization approach, based on energetic principles and the notion of Lyapunov function. The second is an optimal control approach based on the minimum principle. The third is a neural predictive approach which uses model predictive control to track a given optimal stable limit cycle. This method allows a proper control of the waveform. Except for the predictive approach, system stability for the methods is guaranteed by construction. The four-level three-cell DC-DC converter is used as a benchmark to test these strategies. Simulation and experimental results show that the methods have a good performance even with load perturbations.

This paper compares three synthesis methods for controlling a three-level three-cell dc-dc converter. The main contribution of this paper is to analyse different strategies: i) The Passivity Based Control that uses the notion of average model, ii) A stabilizing method in which a unique Lyapunov function is introduced and iii) A new predictive control approach, which relies on the use of optimization procedures.

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