In this paper, an improved model predictive control (MPC) is proposed for the matrix converter (MC). First, the conventional MPC which adopts the separately discretized prediction models is discussed. It shows that the conventional MPC ignores the input–output interaction in every sampling period. Consequently, additional prediction errors arise, resulting in more current harmonics. Second, the principle of the improved MPC is presented. With the interaction considered, the integral state-space equation of the whole MC system is constructed and discretized to obtain the precise model. The eigenvalue analysis shows that the proposed prediction model has the same eigenvalues with the continuous model, and thus is more accurate than the conventional one to describe the MC’s behavior in every sampling period. Finally, experimental results under various working conditions prove that the proposed approach can always increase the control accuracy and reduce the harmonic distortions, which in turn requires smaller filter components.
A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz AC input and 270 V DC output demonstrate the superior control performance.Abstract: A current source converter (CSC) is a promising topology for interfacing aircraft 10 generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed 11 for the CSC with an output LC filter in such application. Deadbeat predictive control with larger 12 sampling time is applied to the output circuit, generating reference source currents. Finite-set model 13 predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal 14 source currents, which is simplified by saving the source current predictions. The proposed scheme 15 eliminates both the proportional-integral controller and the weighting factor, which are required in 16 the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is 17 used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz 18 AC input and 270 V DC output demonstrate the superior control performance.19 Keywords: more electric aircraft; DC microgrid; current source converter; deadbeat predictive 20 control; finite-set model predictive control 21 22 Energies 2019, 12, x FOR PEER REVIEW 3 of 14 while FS-MPC is applied to control source currents. Reference source currents are generated from the 86 output DBPC. In addition, the output DBPC has larger sampling time and the input FS-MPC is 87 simplified by eliminating source current predictions, which reduces the computational burden. 88This paper is organized as follows. Section 2 presents the mathematical model of the CSC system 89 for aircraft DC MG. Section 3 elaborates the principle of the proposed hybrid predictive control 90 scheme. Section 4 shows the simulation and experimental verification. Section 5 draws the conclusion.91 2. Mathematical Model of the CSC System 92 Schematic of the CSC system for the aircraft DC MG is shown in Figure 2. Power source 93 connected to the input side of CSC could be the variable frequency main generators or the auxiliary 94 power units. The input LC filter constituted by the inductor Lfi and the capacitor Cfi attenuates high-95 frequ...
This paper presents general design considerations of a partitioned stator switched flux hybrid magnet memory machine (PS-SF-HMMM). The armature windings and permanent magnets (PMs) are placed on two separate stators, respectively, in the PS-SF-HMMM, and thus both high torque density and wide flux regulation capability can be obtained. The topology and working principle of the machine are introduced briefly first, and then different magnet arrangements and stator/rotor pole combinations are investigated. In addition, various design parameters are optimized based on finite element (FE) methods. Finally, a prototype is fabricated to experimentally validate the FE results.
This paper proposes an input voltage disturbance suppression control strategy for the unidirectional matrix converter (UMC) with a new modulation scheme enhancing the stability. In the new scheme, the modulation index is directly, rather than reversely, proportional to the instantaneous amplitude of input filter capacitor voltages. Contrary to traditional schemes, the stability of the UMC with this new scheme is even better with the increase of the transferred active power, which is particularly suitable for applications with sinusoidal and balanced input conditions. As to the disturbed input conditions, the new scheme could introduce low-frequency harmonics into output currents. To address this issue, a feedback control strategy of output current amplitude is further proposed to eliminate the additional harmonics. Stability analysis of a UMC with the proposed modulation scheme and feedback control strategy is presented. Experimental results have verified the validity of the proposed control solution.
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