Total Harmonic Distortion Reduction for n-level Cascaded H-Bridge Boost Inverter Using Hybrid Method


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Abstract


These days to improve the battery voltage for a conventional three-phase inverter, a multilevel boost inverter is used by Electric vehicles (EV) and Hybrid Electric Vehicles (HEV) available power inverter systems for HEVs. Due to the existence of high range of Total Harmonic Distortion (THD), the present HEV inverters have low efficiency and low power density. In this paper, dc-ac cascaded n-level boost converters with Adaptive Neuro Fuzzy Interference System (ANFIS) controller have been proposed. The feature of this technique is minimization of THD and also provides the discriminatory elimination of harmonics. An n-level boost inverter is comprised in the proposed design. An ordinary three phase, three leg inverter and an H-bridge in series with each leg of the inverter (for each phase allocated one leg), which uses capacitor as a dc source. To generate the staircase output voltage waveform fundamental switching scheme is used. Knowledge base generation, ANFIS training and Fine tuning are the three steps followed in ANFIS. In the knowledge base generation, the random number of switching angles and the equivalent output voltages are generated. Next by the training dataset, the ANFIS was trained and at last produces the optimum switching angle. To develop the correctness of the system this process includes the fine tuning process. This will be finding out the error produced in the system, which is tuning to reduce the error and produce the optimum switching angle. The final output is reduced THD rate and high power density.
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Keywords


Dc-Ac Cascaded N-Level Boost Inverter; Electric Vehicles (EV); Hybrid Electric Vehicles (HEV); Adaptive Neuro Fuzzy Interference System (ANFIS)

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References


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