A Modular Converter- and Signal-Processing-Platform for Academic Research in the Field of Power Electronics

Schwendemann, Rudiger; Decker, Simon; Hiller, Marc; Braun, Michael

doi:10.23919/ipec.2018.8507630

Cited by 23 publications

(16 citation statements)

References 5 publications

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“…In the following section the concept of signal processing and the design of the prototype are presented. The setup is based on a laboratory prototype from [17] with a modified power section and signal processing unit [56]. To ensure that the grid connection conditions are reproducible, an inverter-based island grid was developed [57].…”

Section: Laboratory Setup For Validation Of the Feedforward Controlmentioning

confidence: 99%

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories

Braeckle

Himmelmann

Gröll

et al. 2021

IEEE Open J. Power Electron.

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In power electronics, the modular multilevel converter (MMC) is an easily scalable topology with an high output voltage quality. It is suitable for the transmission of large amounts of electrical power over long distances, which supports the realization of the ongoing energy transition. State-of-the-art methods require a comparatively large total cell capacitance in the system for energy pulsations during operation. In the present paper, in order to minimize this total capacitance, first a new method is developed to model the system, and second, by help of this model, optimal current trajectories are calculated. These currents are used for control to reduce the energy pulsation over the complete operating range, and thus, to better utilize the hardware. The new method independent on the Clarke transformations is implemented on a laboratory scale setup, and measurement results are presented which validate the new method. Furthermore, the new method is compared to the state-of-the-art method of the compensation of the 2nd harmonic and outperforms the latter significantly. This applies to the entire operating range for different power factors. A total reduction of up to 44% of the energy pulsations is achieved.

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Section: Laboratory Setup For Validation Of the Feedforward Controlmentioning

confidence: 99%

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories

Braeckle

Himmelmann

Gröll

et al. 2021

IEEE Open J. Power Electron.

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“…The ETI-SoC-System was developed to be the Central Control Unit for complex converter systems. It is based on the System on Chip (SoC) ZYNQ7030 from XILINX [17]. A sub-rack with two ETI-SoC-Systems is depicted in Fig.…”

Section: B Signal Processing Systemmentioning

confidence: 99%

Cascaded H-Bridge based Parallel Hybrid Converter – A new Voltage Source for Power-Hardware-in-the-Loop Emulation Systems

Stefanski

Schwendemann

Bernet

et al. 2020

2020 IEEE 21st Workshop on Control and Modeling for Power Electronics (COMPEL)

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This paper presents a new 50 kVA Parallel Hybrid Converter (PHC) for Power-Hardware-in-the-Loop (PHIL) emulation systems. The converter combines the high output voltage quality of a low power 17-level Cascaded H-Bridge (CHB) converter in star configuration with the high efficiency and high power density of a 2-level converter. The requirements a converter topology must fulfill in order to be used for PHIL emulation systems are derived and it is shown, that the PHC topology characteristics ideally meet these requirements.

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“…Considering the three supporting points yields Equation (19). The current amplitude is defined as i 2…”

Section: Stationary Operationmentioning

confidence: 99%

Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines

et al. 2020

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This paper presents an extended predictive trajectory control scheme combined with an inner torque ripple minimization considering the current-, flux-linkage-, and voltage-planes of permanent magnet synchronous machines. The extension of a fundamental machine model with flux-linkage harmonics allows the calculation of the inner torque ripple and enables its minimization. For this, the control is divided in two cases: (1) The dynamic operation or large signal behavior which uses the maximal torque gradient for the trajectory strategy during each control period for fastest dynamic operation, and (2) The stationary operation or small signal behavior, utilizing a real time capable polynomial approximation of the rotor position dependent torque hyperbolas (iso-torque curves) of permanent magnet synchronous machines for the ideal torque to current reference values. Since dynamic and steady-state operation is covered, torque to current look-up tables, such as maximum torque per ampere (MTPA)/maximum torque per volt/voltage (MTPV) look-up tables, are not required anymore. The introduced, new control approach is implemented in Matlab/Simulink based on finite element analysis and measured data. Furthermore, test-bench implementations based on measurement data are presented to show the real-time capability and precision.

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A Modular Converter- and Signal-Processing-Platform for Academic Research in the Field of Power Electronics

Cited by 23 publications

References 5 publications

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories

Cascaded H-Bridge based Parallel Hybrid Converter – A new Voltage Source for Power-Hardware-in-the-Loop Emulation Systems

Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines

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