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Vector Torque Control
This chapter presents the well-known vector control approach to control the ACIM torque accurately and dynamically. Various control strategies as... -
Guiding Vector Fields for Robot Motion Control
Using a designed vector field to guide robots to follow a given geometric desired path has found a range of practical applications, such as...
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Model-free control-based vector control of synchronous reluctance motor
The capacity to determine how the state variable system would behave during fixed-point and transition operations is a significant enhancement of the...
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An Invariant Synchronous Motor Vector Control System Closed via an Ackerman Observer
AbstractThe synthesis of an invariant vector speed control system of an asynchronous motor with permanent magnets by the localization method is...
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Aircraft thrust vector control using variable vanes: numerical simulation and optimization
Among the various thrust vector control methods, this study investigates the utilization of mechanical deviation of the nozzle by incorporating a...
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A Sensor-Less Vector Control for Single-Phase Permanent Magnet Synchronous Motor
This paper describes a sensor-less vector control of a single-phase permanent magnet synchronous motor using the d-axis output of synchronous...
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Robust Vector Control of Synchronous Reluctance Motor Using Space Vector Modulation Algorithm
This paper aims to develop a robust vector control (VC) of a three-phase synchronous reluctance motor (SynRM). The inverter is controlled by a space... -
An Optimal Double-Vector Finite Set Model Predictive Control Strategy Based on Deadbeat for Vienna Rectifier
The traditional finite set model predictive control for Vienna rectifier takes the minimum cost function as the control goal and outputs a single...
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Multi-vector predictive direct power control for grid-tied three-level inverters with optimized vector application time calculations
This paper proposes a multi-vector predictive direct power control (P-DPC) for grid-tied T-type three-level inverters with optimized vector...
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Improved Modulated Model Predictive Control of TLIMC-PMSM Based on Virtual Vector Prediction
In order to solve the problems of traditional modulated model predictive control (M2PC) in three-level indirect matrix converter-permanent magnet...
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Optimization of sideband electromagnetic vibration and comprehensive control performance of PMSMs based on improved vector control
To effectively suppress the electromagnetic vibration generated by a permanent magnet motor at different frequency bands and to further improve the...
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Vector and Reservoir Control
This chapter deals with the management of disease vectors and their reservoirs on board seagoing vessels. -
Three-Vector Model Predictive Current Control Strategy of PMSM for Marine Electric Propulsion Based on Three-Level Inverter
Aiming at the problem of large torque ripple of permanent magnet synchronous motor in Marine electric propulsion system, the three-vector model...
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Deadbeat Indirect Torque Control of Switched Reluctance Motors with Current Vector Decomposition
This article presents an improved deadbeat indirect torque control (ITC) method for switched reluctance motors (SRMs) with the primary goal of...
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An Exploration of Voltage-Type Rotor Magnetic Field Indirect Vector Control
This study primarily delves into the control system of electric braking in urban rail trains, with a particular focus on the asynchronous motor and... -
ZSCC suppression method for parallel three-level inverters based on model predictive control with virtual location vector
Parallel three-level neutral point clamped (3L-NPC) inverters are widely used in power conversion applications, such as new energy generation and...
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Multi-vector Robust Model Predictive Current Control for PMSM Based on Incremental Model
This article proposes an improved multi-vector model predictive current control (MPCC) for permanent magnet synchronous motor based on the...
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Adaptive linear neuron-based encoder measurement error compensation in vector control of two-phase step** motors
This paper proposes an encoder measurement error compensation method using an adaptive linear neuron, a type of artificial neural network, for use in...
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Improved double-vector model predictive control to reduce current THD for ANPC-5L inverters
The classical model predictive control (MPC) usually aims to minimize the current error at the end of the control period. This method is equivalent...
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Study of SVPWM control algorithm with voltage balancing based on simplified vector for cascaded H-bridge energy storage converters
DC-side voltage balancing is a critical problem to be solved for cascaded H-bridge energy storage converters. Aiming at inner-phase voltage balancing...