2017
DOI: 10.1016/j.jfranklin.2017.08.032
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The neutral point-potential and current model predictive control method for Vienna rectifier

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Cited by 14 publications
(11 citation statements)
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“…The amplification Nyquist curve of the system with the increase in number of Vienna rectifier is shown in Fig. 8 is clear that the Nyquist curve gradually becomes close to the point (1,0). However, when the number of parallel modules is increased to 7, the parallel system becomes unstable in the case of the given power grid distribution parameters.…”
Section: Stability Analysis Of System With Increasing Number Of Cplsmentioning
confidence: 89%
See 1 more Smart Citation
“…The amplification Nyquist curve of the system with the increase in number of Vienna rectifier is shown in Fig. 8 is clear that the Nyquist curve gradually becomes close to the point (1,0). However, when the number of parallel modules is increased to 7, the parallel system becomes unstable in the case of the given power grid distribution parameters.…”
Section: Stability Analysis Of System With Increasing Number Of Cplsmentioning
confidence: 89%
“…In recent years, with the fast development of communications technology, the electric vehicle (EV) charging station and the computer industry, the safe and reliable operation of high voltage direct current (HVDC) power supply systems has become an important research topic all over the world [1,2]. Specifically, the three-phase threelevel boost-type Vienna rectifier [3] has proven to be a cost-effective and very efficient solution, maximizing the power density of industrial motor drives, active filters, the EV charging station and data center HVDC power supply system [4].…”
Section: Introductionmentioning
confidence: 99%
“…To effectively solve this problem, an improved finite control set model predictive control (FCS‐MPC) method is proposed to alleviate the problems induced by time delay and neutral‐point balance strategy. Due to the inherent parameter deviations in the practical system, the dynamic performance of the FCS‐MPC was not dramatically superior to the PI arithmetic with SVPWM modulation scheme (PI‐SVM) when the sampling frequency was low.…”
Section: Introductionmentioning
confidence: 99%
“…To effectively solve this problem, an improved finite control set model predictive control (FCS-MPC) method is proposed to alleviate the problems induced by time delay and neutral-point balance strategy. [10] Due to the inherent parameter deviations in the practical system, the dynamic performance of the FCS-MPC was not dramatically superior to the PI arithmetic with SVPWM modulation scheme (PI-SVM) when the sampling frequency was low. In addition to aforementioned traditional control strategies, various nonlinear control methods were also proposed on the control system of VIENNA rectifier, such as model predictive algorithm, [11,12] H∞ robust control, [13] passivity control [14] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…However, significant auxiliary algorithms and low-pass filter design are requested when operating at low switching frequency. Since VIENNA rectifier is a highly constrained system, the rectifier stage voltage not only depends on the switch state, but also is related to the current polarity due to the existence of the front-end diode [4]. These characteristics make the conventional control unavailable to achieve excellent performance in VIENNA rectifier applications.…”
Section: Introductionmentioning
confidence: 99%