Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ahmad Arshan Khan"'
Transportation Electrification Dive deep into the latest breakthroughs in electrified modes of transport In Transportation Electrification, an accomplished team of researchers and industry experts delivers a unique synthesis of detailed analyses of r
Publikováno v:
IEEE Transactions on Transportation Electrification. 1:277-286
The switching frequency is one of the most important control parameters of the dc/ac inverter. In most motor drives for transportation, it is set as a constant value at some specific torque or speed. The variable switching frequency pulse width modul
Autor:
Ahmad Arshan Khan
Publikováno v:
SAE Technical Paper Series.
Autor:
Michael J. Kress, Ahmad Arshan Khan
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
IEEE Transactions on Energy Conversion. 27:250-260
Summary form only given. This paper presents a technique for noise and vibration reduction in low-speed sensorless control algorithm of surface mounted permanent magnet synchronous machines (SM-PMSM). The signal processing involved in high-frequency-
Autor:
Ahmad Arshan Khan
Publikováno v:
Integral Transforms and Special Functions. 18:481-483
First kind multivariable Bessel functions are expanded in terms of . Parallely we expand many variable Hermite-Bessel functions and draw further consequences.
Publikováno v:
2011 IEEE Power and Energy Society General Meeting.
An online gain scheduling of the Wavelet-based controller coefficients is presented in this paper for the purpose of reducing noise and vibration resulting from a sensorless control of PM machines at low speeds. The Wavelet-based controller decompose
Autor:
Osama A. Mohammed, Ahmad Arshan Khan
Publikováno v:
41st North American Power Symposium.
The estimation of rotor position at low speed is heavily effected by the signal processing used for extracting the high frequency current signal in carrier signal injection based sensorless control algorithm. An appropriate signal processing strategy
Autor:
Osama A. Mohammed, Ahmad Arshan Khan
Publikováno v:
2009 IEEE Power & Energy Society General Meeting.
The optimization of low speed sensorless algorithm parameters is considered to be difficult due to large number of parameters involved. In this paper, a gradient descent based optimization is proposed to optimize the parameters of low speed sensorles