Space vector pulse width modulation (SVPWM) is an optimum pulse width modulation technique for an inverter used in a variable frequency drive applications. It is computationally rigorous and hence limits the inverter switching frequency. This book discusses a time equivalent SVPWM and neural Network based SVPWM technique for a five-phase voltage source inverter in under modulation region. A neural network has the advantage of very fast implementation of an SVPWM algorithm that can increase the inverter switching frequency. The scheme has been simulated and comparative study is given with the existing PWM schemes. The simulation results are given to validate the concept of proposed schemes.

Mohd. Arif Khan received his M. Tech (Power System & Drives) and Ph.D. degrees in 2007 and 2012, respectively, from the Aligarh Muslim University, Aligarh, India. Presently he is working with Krishna Institute of Engg. & Tech., Ghaziabad as Asstt. Prof. in EN deptt. His principal research interest is Multi-phase Multi-motor machine drives system.

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