Data-Driven Control for Three-Phase AC–DC Power Converters Modeled by Switched Affine Systems

In this article, a new data-driven based switching control strategy is proposed for three-phase ac–dc power converters. The data-driven control strategy eschews the need for system dynamics, instead leveraging the experimental data to get efficient and relevant solutions. More specifically, the three-phase ac–dc power converter in this article is conceptualized as a class of discrete-time switched affine systems with time-varying affine terms. This methodology guarantees the convergence of the system state to a limit cycle, which is determined according to criteria of interest related to the steady-state behavior of the system trajectories, for instance, the angular frequency of the three-phase alternating current, the sampling period and the desired output voltage. Based on a switching multi-hifted-point-dependent Lyapunov function, sufficient conditions of experimental data dependence are derived to guarantee the state trajectories converge to a desired limit cycle. Finally, the efficacy of the proposed method is validated through an experimental verification of a three-phase ac–dc power converter.