The three-phase single-stage differential boost inverter (DBI) has drawn significant attention in power conversion systems when feeding permanent magnet synchronous motors (PMSM). It offers advantages such as single-stage boosting, high efficiency, cost-effectiveness, and a compact structure. However, its nonlinear and non-minimum phase characteristics pose challenges for control. In this paper, the application of model predictive control (MPC) for PMSM fed by the three-phase DBI is focused on. Firstly, the modeling method of the three-phase DBI is presented. Subsequently, an MPC approach for PMSM fed by three-phase DBI is proposed. Based on the established predictive models of circuit currents and voltages, the appropriate duty cycle for the next sampling period can be predicted, which simplifies the control process and parameter design compared to traditional exclusively PI-based control. Simulation experiments are carried out to verify the effectiveness of the proposed MPC strategy for PMSM driven by the three-phase DBI.

The three-phase differential boost inverter is a special type of power inverter that offers single-stage boosting capability, combining high efficiency, low cost and compact size. However, it is complicated to control due to its non-linearity. Conventional open-loop control and dual-loop proportional-integral (PI) control is realized through the pulse width modulation (PWM). This paper reviews the basic principles and conventional control methods of the three-phase differential boost inverter. Then, a model predictive control (MPC) method of the three-phase DBI is proposed. Based on the established discrete models of circuits currents and voltages, the optimal switching state can be selected relying on a predefined cost function. Simulation studies are carried out to verify effectiveness of the proposed MPC of three-phase DBI.

The boost converter-based single-stage buck/boost inverter overcomes challenges that step-up voltage limitations of traditional voltage source inverter, the increased cost and control complexity of two-stage inverters, and the limited step-up range of single-stage impedance source inverters. Whereas, its ac output includes a dc bias at the value of dc source voltage and ac load voltage amplitude. Therefore, its boost ratio would be still limited because of the voltage rating limitation of practical power devices. This paper proposes a novel high-gain single-stage buck/boost inverter, without loss of low voltage stress and high boost ratio. The topology, operating principle, and modulation are disclosed. Simulation studies are carried out to demonstrate effectiveness of the proposed inverter.

The LC filter integrated quasi-Z source indirect matrix converter (QZS-IMC) filters the input voltages and currents while highly expanding voltage boost ratio through the combined QZS network, avoiding the additional input filter while maintaining full-silicon solution. The traditional proportional-integral (PI) control method of IMC is realized through the PI regulators with pulse width modulation (PWM), which is complicated due to elaborated vectors computation and duty cycle composition of IMC and extra control loops design is mandatory. This paper proposes a model predictive control (MPC) for the LC filter integrated QZS-IMC. Based on the established discrete models of circuit voltages and currents, the proposed control method measures the present circuit variables and predicts the variables in the next sampling period. Then, a predefined cost function is evaluated with the predictions and references at each active switching states of the IMC. An optimal switching state that ensures the smallest value of the cost function is applied to the power devices at the beginning of next sampling time. Simulation studies are carried out to demonstrate effectiveness of the proposed MPC for the LC filter integrated QZS-IMC.