Results 21 to 30 of about 19,243,975 (288)

Parameter-adaptive dead-beat predictive current control of permanent magnet synchronous motor

open access: yes电力工程技术, 2023
Dead-beat predictive current control (DPCC) has great potential in the field of motor control due to its fast response. However, it suffers from low robustness due to its sensitivity to parameter variations.
SHU Chaojun, LIU Linzhi
doaj   +1 more source

Predictive deadbeat average model control for phase‐shifted full‐bridge DC/DC converter

open access: yesIET Power Electronics, 2023
Digital current control method is the mainstream method for high‐power DC/DC converters. However, digital controllers require additional filters for noise suppression to ensure their proper operation in the complicated electromagnetic environment.
Yingda Zhu   +4 more
doaj   +1 more source

Deadbeat current predictive fault-tolerant control system model in the case of one phase open circuit.

open access: yes, 2023
Deadbeat current predictive fault-tolerant control system model in the case of one phase open circuit.
Yao Dong (3308124)   +3 more
core   +1 more source

A Review on Predictive Control Technology for Switched Reluctance Motor System

open access: yesWorld Electric Vehicle Journal, 2023
The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control ...
Yiliang Zhu, Ming Yao, Xiaodong Sun
doaj   +1 more source

Performance Analysis of Current Control Strategies for Hybrid Stepper Motors

open access: yesIEEE Open Journal of the Industrial Electronics Society, 2022
Hybrid stepper motors are widespread in industrial automation due to their robustness and high torque performance in low speed range, e.g. 3D printers, pick and place, and generally in many low power positioning applications.
Fabio Bernardi   +5 more
doaj   +1 more source

Depth of anaesthesia control investigation using robust deadbeat control technique [PDF]

open access: yes, 2012
This paper investigates the depth of anaesthesia (DoA) control system using robust deadbeat technique. We propose to apply deadbeat control technique and develop a robust controller.
Wen, Peng   +3 more
core   +1 more source

Robust deadbeat predictive current control of induction motor drives with improved steady state performance

open access: yesIET Power Electronics, 2023
Conventional deadbeat predictive current control (DBPCC) based on space vector modulation (SVM) shows quick dynamic responses and a good steady‐state performance in induction motor (IM) drives. However, the motor parameters change during operation due to
Haonan Zhang   +3 more
doaj   +1 more source

Analysis of Current Predictive Control Algorithm for Permanent Magnet Synchronous Motor Based on Three-Level Inverters

open access: yesIEEE Access, 2019
In some high-precision control applications, such as defense industry and computerized numerical control machine tools, fast and stable electromagnetic torque response is required to ensure the high dynamic performance of the system, while traditional PI
Xinhua Guo   +5 more
doaj   +1 more source

Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-Tuned Shunt Hybrid Active Power Filters [PDF]

open access: yes, 2023
This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids.
Mohammad Monfared   +1 more
core   +1 more source

Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems

open access: yesApplied Sciences, 2023
Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work
Jingyao Peng, Ming Yao
doaj   +1 more source

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