Predictive Control Scheme of the PMSM with a Variable Switching PWM - Ramirez Figueroa, Fernando David
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In this work, a novel predictive control scheme for the permanent magnet synchronous machine by using a pulse-width modulation technique of variable switching frequency and variable sampling time is proposed. The control scheme is based on the model-based predictive control theory and makes use of a flexible pulse width modulation stage that can be reconfigured during the operation of the system without stopping the execution. The proposed control scheme demands a high degree of flexibility in the implementation and a fast signal processing. Therefore, a FPGA implementation was mandatory that…mehr

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Produktbeschreibung
In this work, a novel predictive control scheme for the permanent magnet synchronous machine by using a pulse-width modulation technique of variable switching frequency and variable sampling time is proposed. The control scheme is based on the model-based predictive control theory and makes use of a flexible pulse width modulation stage that can be reconfigured during the operation of the system without stopping the execution. The proposed control scheme demands a high degree of flexibility in the implementation and a fast signal processing. Therefore, a FPGA implementation was mandatory that allows the realization of most of the control algorithm in silicon and a parallel execution. The proposed predictive control approach, successfully overcomes the majority of the drawbacks of conventional field-oriented control and eliminates some of the drawbacks of conventional model predictive control, delivers good dynamics in the torque behavior and exploits the parallel processing capabilities and high computational power provided by an FPGA implementation. Sensorless implementation complements the proposed predictive control strategy.
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Autorenporträt
Fernando D. Ramirez Figueroa received the B.Eng. and M.Sc. degrees in Electronics and Communications Engineering and Engineering Sciences from the Tecnologico de Monterrey, Mexico City, Mexico, in 2007 and 2010 respectively. In 2017 he received the PhD degree in Electrical Engineering from the University of Siegen, Germany.