Results 201 to 210 of about 319 (264)

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Advanced Science, EarlyView.
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang, Yuanyuan Zhang, Choulin Chen, Xiaoxian Xu, Shenghua Qin, Junyan Qi, Yongzhou Bao, Huiming Li, Ruipu Chen, Weigang Zheng, Zhilong Chen, Lingzhao Fang, Yunxiang Zhao, Yuwen Liu   +13 more
wiley   +1 more source

Tri‐Layer Solid‐State Nanopore Arrays with Crosstalk Suppression for High‐Throughput, Femtomolar‐Level Biosensing

Advanced Science, EarlyView.
The critical pore spacing—approximately twenty times the pore radius—required to minimize electric field coupling is determined via finite element analysis. A multi‐layered Al2O3/Au/Si3N4 nanopore structure fabricated by helium ion beam lithography is proposed, enabling quantitative analysis of the target analyte while mitigating inter‐pore crosstalk ...
Silu Feng, Qinglong Luo, Siqi Ai, Suiwei Shen, Chengyong Wang, Zhishan Yuan   +5 more
wiley   +1 more source

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Current Prediction Error Based Parameter Identification Method for SPMSM With Deadbeat Predictive Current Control

IEEE Transactions on Energy Conversion, 2021
Deadbeat predictive current control (DPCC) can predict motor behavior based on SPMSM model. However, during the operation of motor system, motor parameters (such as stator inductance and flux linkage) vary frequently according to different working conditions, which may lead to controller parameter mismatch, causing current harmonic content to increase ...
Ying Zhou, Shuo Zhang, Chengning Zhang, Xueping Li, Xuerong Li, Xin Yuan   +5 more
openaire   +1 more source

Deadbeat predictive current control for PMSM

2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC), 2012
In this paper a predictive current control for PMSM based on dead-beat algorithm is proposed, in the synchronous rotary frame, to improve the performance of current loop. Based on the mathematical model of PMSM the current controller calculated the expected voltage vector directly in terms of the current reference and feedback values, after that ...
Li Niu, Ming Yang, Dian-guo Xu
openaire   +1 more source

Predictive deadbeat current control of five-phase BLDC machines

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014
Model predictive control algorithms have recently gained more importance in the field of power electronics and motor drives. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse system model is used to calculate the appropriate inputs for the next iteration of controlling process. In this
Ramin Salehi Arashloo, Mehdi Salehifar, Jose Luis Romeral Martinez, Fabio Andrade   +3 more
openaire   +1 more source

Permanent synchronous motor predictive deadbeat current control-robustness investigation

The 6th Power Electronics, Drive Systems & Technologies Conference (PEDSTC2015), 2015
This paper investigates the robustness of predictive deadbeat current control applied to a surface permanent magnet synchronous motor (PMSM) due to model parameter uncertainty. This kind of control is considered as model based control and it is very sensitive to model parameter mismatch. Two different methods to improve control robustness are presented
Alireza Abbaszadeh, Mohammad Ali Miremadi, Davood Arab Khaburi, Mojtaba Esmaeili   +3 more
openaire   +1 more source

Deadbeat Predictive Current Control for Permanent Magnet Synchronous Motor

2019 22nd International Conference on Electrical Machines and Systems (ICEMS), 2019
A single beat deadbeat predictive current control (DPCC) method for permanent magnet synchronous motor (PMSM) was proposed. The motor current state equation was derived based on its model, and the regulator expression of single beat DPCC has been obtained from its model.
Xiaohui Xu, Zhongxiang He, Hu Yu, Bo Chen, Weizhang Song   +4 more
openaire   +1 more source

Six - phase Motor fault-tolerant control based on deadbeat predictive current control

2020 IEEE 1st China International Youth Conference on Electrical Engineering (CIYCEE), 2020
Aiming at the single-phase open circuit fault of a six-phase permanent magnet synchronous motor(PMSM), take the neutral point of two sets of windings connected and not connected to the inverter as an example. Based on the principle of constant stator magnetomotive force, solve the residual phase current at the stator end and then establish the ...
Lei Xu, Qiang Xu, Muxing Huang
openaire   +1 more source

Deadbeat Predictive Current Control of PMSM with Nonlinear Parameters Online Identification

2021 IEEE 4th International Conference on Electronics Technology (ICET), 2021
The steady state error caused by mismatch or changes of parameters in the deadbeat predictive current control (DPCC) system of interior permanent magnet synchronous motor is presented in this paper. An improved model reference adaptive system (MRAS) is proposed. The nonlinear motor is viewed as reference model and the adjustable model is discretized by
Kaixuan Yin, Lin Gao, Wenhua Fu, Zhiyu Feng   +3 more
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Deadbeat Predictive Current Control for PMSM Based on Improved Luenberger Observer

2020 39th Chinese Control Conference (CCC), 2020
In this paper, we present an improved Luenberger observer using in the control of the permanent magnet synchronous motor (PMSM) current loop. In the initial phase, the actual values of the system differ significantly from the estimates of the Luenberger observer.
Pengfei Wang, Na Li, Xiujuan Sun, Chuanjiang Wang   +3 more
openaire   +1 more source