Neuroadaptive finite-time output feedback control for PMSM stochastic nonlinear systems with iron losses via dynamic surface technique
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.063
Abstract: Abstract In this paper, an observer-based adaptive neural network finite-time dynamic surface control method is proposed for the position tracking control of PMSM stochastic nonlinear systems with iron losses. First, the finite-time technology is used… read more here.
Keywords: iron losses; control; finite time; dynamic surface ... See more keywords
Time‐domain computation of rotational iron losses considering the bulk conductivity for PMSMs
Sign Up to like & getrecommendations! Published in 2019 at "IET Electric Power Applications"
DOI: 10.1049/iet-epa.2018.5395
Abstract: This study investigates an advanced finite-element (FE) technique for the evaluation of rotational iron losses based on a time-domain computation, where the bulk conductivity of the core materials is considered. The iron-loss characteristics are discussed… read more here.
Keywords: rotational iron; bulk conductivity; time; iron losses ... See more keywords
MRAS-Based Induction Machine Magnetizing Inductance Estimator With Included Effect of Iron Losses and Load
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3135763
Abstract: Although still widely used due to its robustness, reliability, and low cost, induction motor (IM) has a disadvantage of more complicated mathematical description than permanent magnet AC machines. In high-demanding applications, the decoupled control of… read more here.
Keywords: mras based; iron; machine; iron losses ... See more keywords
Command Filtered Adaptive Fuzzy Control for Induction Motors With Iron Losses and Stochastic Disturbances via Reduced-Order Observer
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3221094
Abstract: This brief presents a fuzzy adaptive tracking control method based on command filtering and reduced-order observer for induction motor (IM) with iron losses and stochastic disturbances. Firstly, the rotor position and angular velocity of IM… read more here.
Keywords: command; reduced order; control; order observer ... See more keywords
Compensation of Stray Load and Iron Losses in Small Vector-Controlled Induction Generators
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2019.2914309
Abstract: Standard vector controllers for induction machines (IMs) are based on the conventional IM model. Consequently, they are unaware of the existence of stray load and iron losses. However, these losses may induce a considerable mismatch… read more here.
Keywords: load iron; stray load; iron losses; vector ... See more keywords
Iron Loss Analysis in Axial Flux Permanent Magnet Synchronous Motors With Soft Magnetic Composite Core Material
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2021.3098824
Abstract: Accurate calculation of iron losses in electric machines are essential for optimal machine design. This is especially important for axial flux permanent magnet motors with solid stator and rotor cores. This paper investigates iron losses… read more here.
Keywords: magnet; axial flux; iron; flux permanent ... See more keywords
State Space-Vector Model of Linear Induction Motors Including End-Effects and Iron Losses Part I: Theoretical Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2019.2952031
Abstract: This is the first part of the article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and… read more here.
Keywords: space vector; end effects; model; iron losses ... See more keywords
Modeling of PWM-Induced Iron Losses With Frequency-Domain Methods and Low-Frequency Parameters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3065626
Abstract: The high-frequency iron losses caused by sinusoidal flux density variations with frequencies ranging from 2.5 to 40 kHz, amplitudes from 1 to 70 mT, and dc-biased magnetic inductions from 0 to 1.62 T are measured with the dual-transformer… read more here.
Keywords: frequency domain; low frequency; frequency; iron ... See more keywords
A comparative study of Quasi-FEA technique on iron losses prediction for permanent magnet synchronous machines
Sign Up to like & getrecommendations! Published in 2018 at "Progress in Electromagnetics Research C"
DOI: 10.2528/pierc17102702
Abstract: The paper presents an advanced quasi-FEA technique on the iron losses prediction using Bertotti’s iron loss separation models, in which a curve fitting is taken into account for coefficients calculation of each model. Moreover, the… read more here.
Keywords: iron losses; iron; fea technique; technique iron ... See more keywords