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PV-Based Multilevel Inverter-Fed Three-Phase Induction Motor with Improved Time and Speed of Response

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Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications (AISGSC 2019 2019)

Abstract

In the present power scenario, the power quality is most significant in the field of grid-connected and load-connected inverter. A number of techniques were proposed in the field of renewable energy for improving the efficiency and quality of the power. In this article, the time response of the controller was analysed and verified for load-connected multilevel inverter. There are different types of controllers in use, such as Proportional (P), Proportional Integral (PI), Proportional Integral Derivative (PID), Integer Order PID (IOPID), etc. Out of those controllers classic PI controller is most efficient in the speed of response, that’s why the classic PI controller is compared with proposed Fractional Order Proportional Integral Derivative controller (FOPID). Based on the results, FOPID has more speed of response. The outputs of the multilevel inverter are to be improved by minimizing the rise time, settling time and steady-state error of the inverter. The Simulink model was built to control the motor speed and it will going to be applied for grid in the future.

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Abbreviations

DC:

Direct Current

FOPID:

Fractional-order Proportional Integral Derivatives

HPWM:

Hybrid Pulse Width Modulation

IOPID:

Integer-order Proportional Integral Derivatives

MLI:

Multilevel Inverter

MOSFET:

Metal-oxide Semiconductor Field Effect Transistor

PI:

Proportional Integral

PID:

Proportional Integral Derivatives

PV:

Photo-voltaic

RPM:

Revolution Per Minute

RPWM:

Random Pulse Width Modulation

SPWM:

Single Pulse Width Modulation

THD:

Total Harmonic Distortion

VCO:

Voltage-controlled Oscillator

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S, C., S, D. (2020). PV-Based Multilevel Inverter-Fed Three-Phase Induction Motor with Improved Time and Speed of Response. In: Kumar, L., Jayashree, L., Manimegalai, R. (eds) Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications. AISGSC 2019 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-24051-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-24051-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24050-9

  • Online ISBN: 978-3-030-24051-6

  • eBook Packages: EngineeringEngineering (R0)

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