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Large-scale maritime simulation platform faces the contradiction among timeliness, accuracy and integrity in the data collection, storage, analysis and exploitation, due to the features of maritime big data, such as large-volume, multi-source heterogeneity, abruptness and high noise. With this background, in order to deal with the complexity and imperfectness of maritime big data, this paper employs...
In this paper, a simple model predictive current control strategy is proposed for four-leg inverters to deliver power to (un)balanced/(non)linear loads, which can also be delivered to the grid. The classical control requirements for current PI controllers, three-dimensional transformations, and complex modulation stages are eliminated in this scheme. The discrete-time model of the inverter, filter,...
This paper presents a finite control set model predictive strategy to control the three-phase four-leg neutral-point-clamped (NPC) inverters. The four-leg NPC inverter delivers power to the unbalanced/nonlinear three-phase loads, and it can produce three output currents independently. The proposed method uses the discrete-time model of the inverter and load to predict the load current and capacitor...
This paper presents a model predictive voltage control strategy with a prediction horizon of two samples for enhanced output voltage control of three-phase four-leg inverters used for standalone power systems. The four-leg inverter is developed to deliver symmetrical sinusoidal three-phase voltages, irrespective of the arbitrary consumer load profiles. The proposed controller uses the discrete-time...
A variant of model predictive control (MPC), called Multiplexed MPC (MMPC) has been proposed recently. The motivation for MMPC is to reduce real-time computational load. The reduction in computational load can be used gainfully to increase sampling rate and improve performance. In design, selecting a suitable sampling interval taking into account the computing resources available is a key consideration...
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