Results 21 to 30 of about 19,254,672 (75)

A novel robust control for permanent magnet synchronous motor integrating deadbeat predictive current control and sliding mode observer

Alexandria Engineering Journal
To address parameter mismatch and external load disturbance in permanent magnet synchronous motor (PMSM), a novel robust control for PMSM integrating deadbeat predictive current control (DPCC) and sliding mode observer (SMO) (NRCIDS) is proposed. Firstly,
Zhonghua Wu, Xiaozhuo Xu, Liangjie Wang, Zan Zhang   +3 more
core   +2 more sources

Deadbeat Predictive Current Control with High Accuracy Under a Low Sampling Ratio for Permanent Magnet Synchronous Machines in Flywheel Energy Storage Systems

Machines
The predictive current control for the permanent magnet synchronous machine (PMSM) shows great potential in applications like flywheel energy storage, owing to its fast dynamic response and simple structure.
Xinjian Jiang, Fuwang Li, Zhiru Li, Zhijian Ling, Zhenghui Zhao, Hao Qin   +5 more
core   +2 more sources

Improved Deadbeat Predictive Current Predictive Control Based on Low-Complexity State Feedback Controllers and Online Parameter Identification

Machines
To improve the control accuracy and address the parameter disturbance issues of joint-driven permanent magnet synchronous motors in intelligent manufacturing, this paper proposes an improved deadbeat predictive current predictive control (DPCC) scheme ...
Zhenyu Tang, Long Wang, Mingchen Luan, Haitao Yan, Yun Zhang   +4 more
core   +2 more sources

Study on influence of switching frequency on sliding mode control performance of permanent magnet synchronous motor

IET Power Electronics, Volume 15, Issue 16, Page 1858-1867, 16 December 2022., 2022
Abstract Aiming at the deficiencies of the speed loop PI control algorithm of permanent magnet synchronous motor (PMSM) in variable working conditions, a new fast reaching law sliding mode control algorithm based on double‐power is proposed. Firstly, a new sliding mode reaching law is proposed, and the reaching law includes system state variables and ...
Shudan Tan, Jiaqing Ma
wiley   +1 more source

Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia

Alzheimer's &Dementia, Volume 17, Issue 3, Page 500-514, March 2021., 2021
Abstract Introduction The presymptomatic phase of neurodegenerative disease can last many years, with sustained cognitive function despite progressive atrophy. We investigate this phenomenon in familial frontotemporal dementia (FTD). Methods We studied 121 presymptomatic FTD mutation carriers and 134 family members without mutations, using multivariate
Kamen A. Tsvetanov, Stefano Gazzina, P. Simon Jones, John van Swieten, Barbara Borroni, Raquel Sanchez‐Valle, Fermin Moreno, Robert Laforce Jr, Caroline Graff, Matthis Synofzik, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, Elizabeth Finger, Rik Vandenberghe, Alexandre de Mendonça, Fabrizio Tagliavini, Isabel Santana, Simon Ducharme, Chris Butler, Alexander Gerhard, Adrian Danek, Johannes Levin, Markus Otto, Giovanni Frisoni, Roberta Ghidoni, Sandro Sorbi, Jonathan D. Rohrer, James B. Rowe, the Genetic FTD Initiative, GENFI, Sónia Afonso, Maria Rosario Almeida, Sarah Anderl‐Straub, Christin Andersson, Anna Antonell, Silvana Archetti, Andrea Arighi, Mircea Balasa, Myriam Barandiaran, Nuria Bargalló, Robart Bartha, Benjamin Bender, Luisa Benussi, Valentina Bessi, Giuliano Binetti, Sandra Black, Martina Bocchetta, Sergi Borrego‐Ecija, Jose Bras, Rose Bruffaerts, Paola Caroppo, David Cash, Miguel Castelo‐Branco, Rhian Convery, Thomas Cope, Maura Cosseddu, María de Arriba, Giuseppe Di Fede, Zigor Díaz, Katrina M Moore, Diana Duro, Chiara Fenoglio, Camilla Ferrari, Carlos Ferreira, Catarina B. Ferreira, Toby Flanagan, Nick Fox, Morris Freedman, Giorgio Fumagalli, Alazne Gabilondo, Roberto Gasparotti, Serge Gauthier, Stefano Gazzina, Giorgio Giaccone, Ana Gorostidi, Caroline Greaves, Rita Guerreiro, Carolin Heller, Tobias Hoegen, Begoña Indakoetxea, Vesna Jelic, Lize Jiskoot, Hans‐Otto Karnath, Karolinska Institutet, Ron Keren, Tobias Langheinrich, Maria João Leitão, Albert Lladó, Gemma Lombardi, Sandra Loosli, Carolina Maruta, Simon Mead, Lieke Meeter, Gabriel Miltenberger, Rick van Minkelen, Sara Mitchell, Benedetta Nacmias, Mollie Neason, Jennifer Nicholas, Jaume Olives, Alessandro Padovani, Jessica Panman, Janne Papma, Irene Piaceri, Michela Pievani, Yolande Pijnenburg, Cristina Polito, Enrico Premi, Sara Prioni, Catharina Prix, Rosa Rademakers, Veronica Redaelli, Tim Rittman, Ekaterina Rogaeva, Pedro Rosa‐Neto, Giacomina Rossi, Martin Rossor, Beatriz Santiago, Elio Scarpini, Sonja Schönecker, Elisa Semler, Rachelle Shafei, Christen Shoesmith, Miguel Tábuas‐Pereira, Mikel Tainta, Ricardo Taipa, David Tang‐Wai, David L Thomas, Paul Thompson, Hakan Thonberg, Carolyn Timberlake, Pietro Tiraboschi, Philip Vandamme, Mathieu Vandenbulcke, Michele Veldsman, Ana Verdelho, Jorge Villanua, Jason Warren, Carlo Wilke, Ione Woollacott, Elisabeth Wlasich, Henrik Zetterberg, Miren Zulaica   +143 more
wiley   +1 more source

Improved Deadbeat Predictive Current Control to Enhance the Performance of the Drive System of Permanent Magnet Synchronous Motors [PDF]

, 2021
Thanks to the features of fast dynamic response, excellent static tracking performance, and less computation efforts, the deadbeat predictive current control (DPCC) has been widely applied for permanent magnet synchronous motors (PMSMs) in various ...
Zhang, C, Zhu, JG, Wang, P, Ba, X, Guo, Y, Peng Wang, Jian Guo Zhu, Youguang Guo, Xin Ba, Chengning Zhang   +9 more
core   +1 more source

A Robust Deadbeat Predictive Current Control Method for IPMSM

, 2023
Deadbeat predictive current control (DPCC) demonstrates excellent dynamic performance. However, in practical applications, its effectiveness is degraded by parameter mismatches and inverter nonlinearities.
Hu, Qichao, Li, Wenya, Liu, Zixuan,, Hu, Qichao,, Li, Zhaokai, Li, Wenya,, Huang, Xiaoyan,, Li, Zhaokai,, Yang, Geng,, Huang, Xiaoyan, Liu, Zixuan, Yang, Geng   +11 more
core   +1 more source

Adaptive Deadbeat Predictive Current Control for PMSM With Feed Forward Method

IEEE Access, 2021
The steady-state error and torque ripple caused by the mismatch or variation of parameters in the deadbeat predictive current control of permanent magnet synchronous motor are presented in this paper.
Kaixuan Yin, Lin Gao, Rui Chen, Zhiyu Feng, Shen Liu   +4 more
doaj   +1 more source

High‐density intracranial recordings reveal a distinct site in anterior dorsal precentral cortex that tracks perceived speech

Human Brain Mapping, Volume 41, Issue 16, Page 4587-4609, November 2020., 2020
Berezutskaya et al. show that a distinct region within anterior dorsal precentral cortex tracks multiple auditory properties of perceived continuous speech. The region is distinct from the adjacent hand and mouth motor areas and has a unique role in speech processing.
Julia Berezutskaya, Clarissa Baratin, Zachary V. Freudenburg, Nicolas F. Ramsey   +3 more
wiley   +1 more source

Förbättring av prestanda för servo system : Robust ickelinjär deadbeat förutsägande strömkontroll för permanenta magnet synkronmotorer

, 2023
The Permanent Magnet Synchronous Motor (PMSM, also known as the servo motor) is a crucial component within robotic servo systems. To optimally respond to the torque demands sent from the high-level motion controller, the PMSM current controller must ...
Zhao, Xingyu
core   +3 more sources