Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shanmukha Ramakrishna"'
Autor:
Jenn Yen Loh, Mathivanan Anand Prabhu, Shuai Wang, Sunil Chandrakant Joshi, Vaiyapuri Viswanathan, Shanmukha Ramakrishna
Publikováno v:
The Journal of Engineering (2019)
This study presents the design and analysis of the segmented rotor design for an electrical machine embedded onto the more electric aircraft gas turbine engine shaft. The high-speed operational environment imposes high stress levels due to centrifuga
Externí odkaz:
https://doaj.org/article/ab927939b4e64b75a67f038026e5d488
Autor:
Shuai Wang, Yuming Yan, Gajanayake Chandana Jayampathi, Shanmukha Ramakrishna, Christopher H. T. Lee, Fawen Shen
Publikováno v:
IECON
This paper proposes a novel flux switching memory machine (FSMM) in which low coercive force (LCF) magnets are alternatively arranged between adjacent U-shape stator cores. The proposed machine exhibits superiority in flexible online flux regulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a328e67f403a2f5833842c4aea82d07e
https://doi.org/10.1109/iecon48115.2021.9589836
https://doi.org/10.1109/iecon48115.2021.9589836
Autor:
Chandana Jayampathi Gajanayake, Shanmukha Ramakrishna, Shuai Wang, Christopher H. T. Lee, Yuming Yan, Fawen Shen
Publikováno v:
IECON
This paper presents a new vernier permanent magnet machine (VPMM) with stator-V-shaped permanent-magnet arrangement, termed as (SV-VPMM). The key is to adopt unevenly distributed V-shaped PMs in the stator, which exhibits flux concentration effect an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::924a4fce3e6fd8b6d2810f3e1def2e20
https://doi.org/10.1109/iecon48115.2021.9589214
https://doi.org/10.1109/iecon48115.2021.9589214
Autor:
Rong Su V. Viswanathan, Yang Yu, Shanmukha Ramakrishna, Yudong Du, Shuai Wang, Chandana Jayampathi Gajanayake, Amit Kumar Gupta
Publikováno v:
2019 IEEE Applied Power Electronics Conference and Exposition (APEC).
In this article, a data-driven integral reinforcement Learning control scheme is applied to Input Constrained Control of Permanent Magnet synchronous machine (PMSM). The proposed controller can maintain high performance since it formulates the machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af2bef7caeab956bf49f6451a4264b5f
https://doi.org/10.1109/apec.2019.8722206
https://doi.org/10.1109/apec.2019.8722206
Autor:
Ma Xiaohe, Yu Yang, Su Rong, Jet, Tseng King, Vaiyapuri, Viswanathan, Amit, Gupta, Shanmukha, RamaKrishna, Chandana, Gajanayake
Publikováno v:
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society; 2016, p1610-1615, 6p