Results 41 to 50 of about 15,543,195 (295)
Position Controller for PMSM Based on Finite Control Set Model Predictive Control
Elektronika ir Elektrotechnika, 2016 The paper presents the position control of a permanent magnet synchronous motor by using the finite control set model predictive control. The position, speed and acceleration references are generated by a ramp generator. A new cost function, including feed-forward and load torque compensations, is introduced. In order to save the computational power, a
Slapak, Viktor +2 more
openaire +2 more sources
Collision Avoidance Using Finite Control Set Model Predictive Control for Unmanned Surface Vehicle
Applied Sciences, 2018 In recent years, with the development of unmanned platforms, unmanned surface vehicles (USV) are attracting more and more attention. Compared to ordinary ships, USV have a smaller volume and faster speed, so their collision avoidance system (CAS) should ...
Xiaojie Sun +4 more
doaj +1 more source
IEEE Access, 2020 This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the low-switching-frequency (LSF) range, where the switching loss is low.
Tan Wang, Yihua Hu, Zuyu Wu, Kai Ni
doaj +1 more source
Finite-Control-Set Model Predictive Control With Improved Steady-State Performance [PDF]
IEEE Transactions on Industrial Informatics, 2013 Finite-control-set model predictive control (FCS-MPC) is a novel and promising control scheme for power converters and drives. Many practical and theoretical issues have been presented in the literature, showing good performance of this technique. The present work deals with one of the most relevant aspects of any controller, namely, the steady-state ...
Ricardo P. Aguilera +2 more
openaire +4 more sources
Machine Learning Based Adaptive Prediction Horizon in Finite Control Set Model Predictive Control
IEEE Access, 2018 In this paper, an adaptive prediction horizon approach based on machine learning is presented for the finite control set model predictive control (FCS-MPC) of power converters. Usually, in FCS-MPC, the prediction horizon is kept constant.
Muhammad Saleh Murtaza Gardezi +1 more
doaj +1 more source
Finite set control transcription for optimal control applications [PDF]
, 2009 textAn enhanced method in optimization rooted in direct collocation is formulated to treat the finite set optimal control problem. This is motivated by applications in which a hybrid dynamical system is subject to ordinary differential continuity ...
Stanton, Stuart Andrew
core
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Finite Control Set Model Predictive Control of Grid Tied Wind Turbine Converter [PDF]
, 2023 This report presents the proposal of finite control set model predictive control(FCS-MPC) for the control of the inverterswitching signals of a grid tied wind turbine back-to-back converter. Primary control objectives are tracking of DC-link voltage, and
Andersen, Laurits Hastrup +1 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source