A Novel Methodology to Implement Non-Ideal Boost Inverter Using Genetic Algorithm based Sliding-PI Controller

The paper introduces a Non-Ideal Boost Inverter with Linear Load as an alternative to the traditional Voltage Source Inverter. Unlike the traditional inverter, this new design is capable of generating a sinusoidal AC output voltage that can be either higher or lower than the DC input voltage, depend...

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Veröffentlicht in:E3S web of conferences 2024, Vol.540, p.6010
Hauptverfasser: Guputa, Rajesh, Singh, Akhilendra, Sharma, Bhuvnesh, Prakash, Febin
Format: Artikel
Sprache:eng
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Zusammenfassung:The paper introduces a Non-Ideal Boost Inverter with Linear Load as an alternative to the traditional Voltage Source Inverter. Unlike the traditional inverter, this new design is capable of generating a sinusoidal AC output voltage that can be either higher or lower than the DC input voltage, depending on the duty cycle. This eliminates the need for a second power conversion stage. To enhance the performance of the Boost Inverter, a Sliding-PI controller, a relatively new control topology, is employed. The Kp and Ki constants for the controller are determined using a Genetic Algorithm. The paper then proceeds to present the operations, analysis, control strategy, and simulation results of the proposed inverter design.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202454006010