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Modeling of power converters is usually done using cycle-average or piecewise-linear methods. Piecewise-linear methods operate by selecting the model corresponding to the current switching state. When the amount of possible states increase, the number of models increases as well. For model-predictive control (MPC), this results in an increasing computational effort, which limits the applicability...
Electrical traction motors face challenging torque-speed requirements. DC-excited flux switching machine (FSM) offers inherently a good torque capability along with an effective controllability thanks to its DC field windings. These machines have been evaluated mainly over their performance with little consideration on their control. This paper proposes a control strategy, applied on a 3-phase 6/5...
The presented work is dedicated to the development of the control approaches with the aim to reduce the torque ripple of the switched reluctance motor (SRM) used as a prime mover in the full electric vehicle (FEV). In the previous paper the static and transient models created with the use of finite element method (FEM) software and Matlab/Simulink respectively together with optimization of the control...
This paper describes a control approach to reduce the torque ripple of the switched reluctance motor (SRM) employed as a prime mover in a full electric vehicle (FEV). The SRM drive, which was originally installed in the prototype electric vehicle was facing significant torque ripple at low speeds. The implemented control solution allowed to overcome this problem. The presented approach is based on...
While an increasing number of photovoltaic (PV) systems is installed, those systems typically use central inverters. In practical cases, output-power differences between PV modules will cause these central-inverter-based systems not to achieve Maximum Power Point (MPP) for each PV module. Furthermore, central-inverter-based systems feature limited modularity and single point-of-failure properties...
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