부산대학교 도서관

The control of three-phase inverters with output LC filter is of great importance in many applications such as renewable energy, energy storage systems and uninterruptible power supplies, where the generation of sinusoidal output voltages with required amplitude, frequency and lowest harmonic distortion is desired. However, the inevitable parameter uncertainties and disturbances caused by manufacturing tolerance, aging of electrical components and load changes will degrade controller performance, which have always been challenges to traditional model predictive control methods. To deal with these challenges, a data-driven predictive control scheme is proposed in this paper. All unknown parameters and load current can be estimated online with a moving window adaptive observer. The estimation results are used to build a predictive model. Then, predictive control is applied to minimize the error between the output voltage and the reference value. Simulation results verify that the proposed scheme has a better ability to deal with parameter uncertainties and load changes than the traditional model predictive control scheme.