Optimal advance angle for aided maximum-speed-node design of switched reluctance machines

Autor: Fabio Giulii Capponi, Mohamed Rashed, Roberto Morozzo Della Rocca, Savvas Papadopoulos, Giulio De Donato, Michael Galea
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Maximum power principle
Computer science
Iterative method
Computation
Energy Engineering and Power Technology
02 engineering and technology
TK Electrical engineering. Electronics Nuclear engineering
single-pulse mode
machine design
switched reluctance machine
torque maximization
Control theory
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Analytical Model
Advance Angle
Design Optimization
Machine Design
High Speed
Single-Pulse Mode
Switched Reluctance Machine
Torque Maximization
analytical model
advance angle
design optimization
high speed
020208 electrical & electronic engineering
Design tool
621.3 Electrical & electronic engineering
Switched reluctance motor
Power (physics)
Node (circuits)
Engineering design process
Engineering Research Group
ISSN: 0885-8969
1558-0059
Popis: In the design processes of Switched Reluctance (SR) Machines that operate in wide constant power speed ranges, the maximum power available at maximum speed must be evaluated for every machine candidate. This is critical to ensure compliance with the power requirement. Important parameters to include in the design routine are the duration of the energizing period and the advance of the turn-on instant, i.e., advance angle. The latter is highly related to the machine geometry and is usually evaluated through time-consuming finite-element-based iterative methods. In this article, a simple, yet novel analytical model is proposed to cater for the torque-maximising advance angle in a closed-form analytical expression, directly from the machine geometry. The goal is to provide a non-iterative design tool that speeds up the design process. Successful validations against finite element analyses and experimental results on an SR machine prototype are reported. The main outcome of this article is shown by the improvement in computation time, without any significant loss of accuracy.
Databáze: OpenAIRE
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