نتایج جستجو برای: hts induction motor optimization

تعداد نتایج: 668075  

Journal: :CES Transactions on Electrical Machines and Systems 2019

Journal: :IOP Conference Series: Materials Science and Engineering 2020

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

Journal: :Appl. Soft Comput. 2012
Kinattingal Sundareswaran P. Srinivasa Rao Nayak

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorized AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned Proportional-Integral (PI) controller. Since, AC voltage controller fed starting of induction motor is a non-linear process, identificati...

2014
S. Wang J. Kang J. C. Noh Semyung Wang

The oil circulation rate (OCR) of the rotary compressor is a crucial factor affecting the performance and reliability of air-conditioning systems. In this paper, topology optimization of the single-phase induction motor of rotary compressor is carried out for reducing the OCR. The nonlinear transient characteristic of single-phase induction motor for rotary compressor is analyzed by using FLUX2...

Journal: :CoRR 2017
Hao Li Zhijian Liu

Measuring the performance of solar energy and heat transfer systems requires a lot of time, economic cost and manpower. Meanwhile, directly predicting their performance is challenging due to the complicated internal structures. Fortunately, a knowledge-based machine learning method can provide a promising prediction and optimization strategy for the performance of energy systems. In this Chapte...

Journal: :Bioorganic & medicinal chemistry letters 2010
Craig Jamieson Stephanie Basten Robert A Campbell Iain A Cumming Kevin J Gillen Jonathan Gillespie Bert Kazemier Michael Kiczun Yvonne Lamont Amanda J Lyons John K F Maclean Elizabeth M Moir John A Morrow Marianthi Papakosta Zoran Rankovic Lynn Smith

Starting from an HTS derived hit 1, application of biostructural data facilitated rapid optimization to lead 22, a novel AMPA receptor modulator. This is the first demonstration of how structure based drug design can be exploited in an optimization program for a glutamate receptor.

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