Continuous demagnetisation assessment for triple redundant nine-phase fault-tolerant permanent magnet machine

Autor: Jiabin Wang, Yanwen Shi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
applied voltage vector
Computer science
demagnetisation
continuous demagnetisation assessment
Energy Engineering and Power Technology
torque
Topology (electrical circuits)
nine-phase fault tolerant machine
02 engineering and technology
finite element analysis
Counter-electromotive force
permanent magnet machines
partial irreversible demagnetisation
Fault (power engineering)
01 natural sciences
nine-phase fault-tolerant permanent magnet machine
demagnetisation distribution
post-demagnetisation performance
Control theory
electric potential
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering

Torque
triple redundant
inverter control failure
worst case scenario
sensing
010302 applied physics
reluctance machines
permanent-magnet-assisted synchronous reluctance machine topology
Magnetic reluctance
machine windings
machine theory
020208 electrical & electronic engineering
General Engineering
Fault tolerance
continuous demagnetisation model
lcsh:TA1-2040
Magnet
fault transients
Inverter
fault tolerance
lcsh:Engineering (General). Civil engineering (General)
permanent magnet motors
Software
Zdroj: The Journal of Engineering (2019)
Popis: In this study, the risk of partial irreversible demagnetisation of a triple redundant, nine-phase fault tolerant machine based on permanent-magnet-assisted synchronous reluctance machine topology has been comprehensively assessed under various faults, including the worst case scenario when the applied voltage vector is in the opposite direction of the back electromotive force due to sensing and inverter control failure, by employing a continuous demagnetisation model. The dynamic response during fault transients and the post-demagnetisation performance, such as the demagnetisation distribution, reduction in the back EMF and torque, will also be analysed and compared.
Databáze: OpenAIRE