Compensation of magnetic saturation in maximum torque to current vector controlled synchronous reluctance motor drives

2003 ◽  
Vol 18 (3) ◽  
pp. 379-385 ◽  
Author(s):  
C. Mademlis
Keyword(s):  
Motor Drives ◽  
Magnetic Saturation ◽  
Maximum Torque ◽  
Current Vector ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor

scholarly journals An Investigation of Direct Torque Control and Hysteresis Current Vector Control for Motion Control Synchronous Reluctance Motor Applications

2019 ◽  
Vol 4 (1) ◽  
pp. 115-124
Author(s):  
Tibor Vajsz ◽  
László Számel ◽  
Árpád Handler
Keyword(s):  
Vector Control ◽  
Motion Control ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Motor Drives ◽  
Torque Control ◽  
Control Algorithms ◽  
Current Vector ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor

Abstract Synchronous reluctance motor drives are one of the most attractive alternatives of permanent magnet synchronous motor drives and induction motor drives in the field of conventional industrial and household applications. This tendency is expected to be continued in the case of motion control applications as well. This article investigates two torque-control algorithms that are possible candidates for motion control synchronous reluctance motor applications. The examined torque-control algorithms are direct torque control (DTC) and hysteresis current vector control (HCVC).

scholarly journals Online MTPA Control Strategy for DTC Synchronous-Reluctance-Motor Drives

2011 ◽  
Vol 26 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Silverio Bolognani ◽  
Luca Peretti ◽  
Mauro Zigliotto
Keyword(s):  
Control Strategy ◽  
Motor Drives ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor

Enhanced Emotional and Speed Deviation Control of Synchronous Reluctance Motor Drives

2019 ◽  
Vol 34 (2) ◽  
pp. 604-612 ◽  
Author(s):  
Ehsan Daryabeigi ◽  
Ahmad Mirzaei ◽  
Hossein Abootorabi Zarchi ◽  
Sadegh Vaez-Zadeh
Keyword(s):  
Motor Drives ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor

Deviation Model-Based Control of Synchronous Reluctance Motor Drives With Reduced Parameter Dependency

2019 ◽  
Vol 34 (7) ◽  
pp. 6697-6705 ◽  
Author(s):  
Ehsan Daryabeigi ◽  
Ahmad Mirzaei ◽  
Hossein Abootorabi Zarchi ◽  
Sadegh Vaez-Zadeh
Keyword(s):  
Motor Drives ◽  
Model Based Control ◽  
Model Based ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Parameter Dependency

Taguchi-EM-AI Design Optimization Environment for SynRM Drives in Traction Applications

2021 ◽  
Vol 35 (11) ◽  
pp. 1372-1373
Author(s):  
A.A. Arkadan ◽  
N. Al Aawar
Keyword(s):  
Design Optimization ◽  
Search Algorithm ◽  
Motor Drives ◽  
Computational Time ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Drive System ◽  
Taguchi Orthogonal Arrays ◽  
Optimization Search

Multi-objective design optimization environments are used for electric vehicles and other traction applications to arrive at efficient motor drives. Typically, the environment includes characterization modules that involve the use of Electromagnetic Finite Element and State-Space models that require large number of iterations and computational time. This work proposes the utilization of a Taguchi orthogonal arrays method in conjunction with a Particle Swarm Optimization search algorithm to reduce computational time needed in the design optimization of electric motors for traction applications. The effectiveness of the Taguchi method in conjunction with the optimization environment is demonstrated in a case study involving a prototype of a Synchronous Reluctance Motor drive system.

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