Mitigation of electromagnetic inference (EMI) is currently a challenge for scientists and designers in order to cope with electromagnetic compatibility (EMC) compliance in switching mode power supply (SMPS) and ensure the reliability of the whole system. Standard filtering techniques: passive and active ones present some insufficiency in terms of performance at high frequencies (HF) because analog components would no longer be controllable and this is mainly due to their parasitic elements. So developing EMI digital filters is very interesting, especially with the embedment of a machine control system on a field programmable gate array (FPGA) chip. In this paper, we present a design of an active digital EMI filter (ADF) to be integrated in a drive train system of an electric vehicle (EV). Hardware design as well as FPGA implementation issues have been presented to prove the efficiency of the developed digital filtering structure.
This paper resumes a Direct Torque Fuzzy Control (DTFC) of an Induction Motor (IM). The novel approach aims to ameliorate the performances of the conventional Direct Torque Control (DTC) by considerably reducing electromagnetic torque and stator flux ripples and improving the form of stator current. The proposed controller is based on fuzzy logic technique and it is developed in order to be implemented on Field Programmable Gate Array chip (FPGA) by using Matlab/Simullink package and Xilinx System Generator (XSG) toolbox. The efficiency of proposed technique is evaluated through simulative results that show its performance compared to conventional one.
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