Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shou-Chuang Lin"'
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7323-7348 (2015)
This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisory sliding
Externí odkaz:
https://doaj.org/article/15802add28b24ea98fad83fa8c963e58
Autor:
Shou-Chuang Lin, 林首壯
106
This study presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisor
This study presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisor
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/8dfv6w
Autor:
Shou-Chuang Lin, 林首壯
94
As modeling the physical systems to meet the need of control purpose, finding mathematical models of these systems is a challenging work, and there are many approaches proposed to solve this problem. To reduce the complexity of analysis, mode
As modeling the physical systems to meet the need of control purpose, finding mathematical models of these systems is a challenging work, and there are many approaches proposed to solve this problem. To reduce the complexity of analysis, mode
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/t6rks5
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7323-7348 (2015)
Sensors
Volume 15
Issue 4
Pages 7323-7348
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 4
Pages 7323-7348
Sensors (Basel, Switzerland)
This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisory sliding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a2f47493acf7599a34009cacf5f5bd
http://www.mdpi.com/1424-8220/15/4/7323
http://www.mdpi.com/1424-8220/15/4/7323
Publikováno v:
Applied Mechanics and Materials. 418:100-103
This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8aab67e4d6249f8b000ae63e9e37af6
https://doi.org/10.4028/www.scientific.net/amm.418.100
https://doi.org/10.4028/www.scientific.net/amm.418.100
Autor:
Chwan-Lu Tseng, Yung Shun Chang, Wen-Tsai Sung, Shun-Yuan Wang, Shou Chuang Lin, Jen-Hsiang Chou
Publikováno v:
Applied Mechanics and Materials. 418:96-99
The purpose of this study was to develop a hybrid fuzzy-sliding controller with fuzzy self-tuning (HFSC). This controller used a fuzzy supervisory system to allocate the output proportions of a sliding-mode controller and a fuzzy controller (FC). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7f97797de5f3a48ce4004431ec891a
https://doi.org/10.4028/www.scientific.net/amm.418.96
https://doi.org/10.4028/www.scientific.net/amm.418.96
Publikováno v:
Applied Mechanics and Materials. :1525-1528
In this paper, an adaptive learning control (ALC) based on the repetitive tuning of the dominant energized parameters is proposed to minimize the torque ripple and energy conversion loss of the switched reluctance motors (SRMs). A simple and effectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c9031e603a822e5c0e743f7e86ba5de
https://doi.org/10.4028/www.scientific.net/amm.300-301.1525
https://doi.org/10.4028/www.scientific.net/amm.300-301.1525
Publikováno v:
Applied Mechanics and Materials. :2337-2340
This paper presents an adaptive pseudo reduced-order Takagi-Sugeno (T-S) fuzzy flux estimator for the induction motor direct field orientation control system. The estimator gain can be obtained by solving a set of linear matrix inequalities (LMIs) to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4486ceb64cff48da48813f011a86017
https://doi.org/10.4028/www.scientific.net/amm.284-287.2337
https://doi.org/10.4028/www.scientific.net/amm.284-287.2337
Publikováno v:
2014 International Symposium on Computer, Consumer and Control.
This study proposed an intelligent rotary fault diagnosis systems for motors. A sensor less rotational speed detection method and a dynamic structural neural network (DSNN) were used. This method can be employed to detect the rotary frequencies of mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc285f389c8689759b2b6814e81347a
https://doi.org/10.1109/is3c.2014.119
https://doi.org/10.1109/is3c.2014.119
Publikováno v:
Mathematical Problems in Engineering, Vol 2014 (2014)
This study proposed an intelligent rotary fault diagnostic system for motors. A sensorless rotational speed detection method and an improved dynamic structural neural network are used. Moreover, to increase the convergence speed of training, a termin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cf8cbd0c9bb9f38283af386750bf088