Abdullatif Hakim is a graduate Electrical Engineering student at the University of South Florida with emphasis on power systems. He has five years of experience at the Jazan power plant. He completed his bachelor’s degree in 2016 at Gannon University, PA and master’s degree in 2017 at University of South Florida, FL. Presently, he is pursuing the PhD program at University of South Florida in Electrical Engineering.
Abstract
Reduced-order beholders for rotor flux estimation of generalization motors are considered. The “electric current” model and “voltage” model are obtained as special cases. It is shown that the flux dynamics variant a nonlinear closed-loop scheme when the flux estimate is used for study orientation course. The beholder increase survival of the fittest is extremely critical for goodness behaviour of this system. A human body work is developed, in which the dimension of any gain selection easily can be assessed. Four candidates gain selections are considered, two of which proceeds schemes that do not use the rotor speed in their equations (inherently sensor less schemes). It is also shown that for any gain selection, an equivalent synchronous-frame implementation (i.e., indirect field orientation) always exists. Forefinger Terms—Field orientation, flux estimation, generalization motor, senseless control. Induction machines (IMs), unlike synchronous machines, do not allow the flux position to be easily measured. For vector control, one must resort to flux estimation. The “current” model (CM) and “voltage” model (VM) are the traditional solutions, and their benefits and drawbacks are well known. (Due to their respective parameter sensitivities, they are useful at low and nominal speeds, respectively.) Various observers for flux estimation were analysed in the pioneering work by Verghese and Sanders. Over the years, several other have been presented, many of which also include speed.
Trends in Renewable Energy
Green Energy and Economy
Advanced Materials for Energy Storage, Generation and Transmission
Hybrid Renewable Energy Approaches
Biofuels, Bioenergy and Sustainable Nuclear Energy