Flux Linkage Determination for Correct Modeling of Switched Reluctance Machines - Dynamic Measurement versus Static Computation

2007 ◽  
Author(s):  
Christian E. Carstensen ◽  
Nisai H. Fuengwarodsakul ◽  
Rik W. de Doncker
Keyword(s):  
Dynamic Measurement ◽  
Flux Linkage ◽  
Switched Reluctance ◽  
Switched Reluctance Machines ◽  
Static Computation

scholarly journals A Survey of the Modeling of Switched Reluctance Machines and their Applications

2020 ◽  
Vol 6 (1) ◽  
pp. 26-36
Author(s):  
Ana Camila Ferreira Mamede ◽  
José Roberto Camacho ◽  
Rui Esteves Araújo
Keyword(s):  
Single Machine ◽  
Open Problem ◽  
Angular Position ◽  
Mathematical Function ◽  
Nonlinear Relationship ◽  
Switched Reluctance Machine ◽  
Flux Linkage ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines

The main objective of modeling a switched reluctance machine is to derive a mathematical function to relate the outputs to the inputs. Due to the nonlinear relationship between the variables of torque, flux linkage, current and angular position of the rotor, Switched Reluctance Machine (SRM) modeling is a very challenging task and an open problem. Modeling is usually done in two situations, modeling a single machine, or modeling a set of machines. Each one must fulfill different requirements. This work presents a survey of different SRM modeling approaches, evaluating its advantages and limitations when modeling a single machine or a set of machines.

A Simple Reluctance Calibration Strategy to Obtain the Flux-Linkage Characteristics of Switched Reluctance Machines

2020 ◽  
Vol 35 (3) ◽  
pp. 2787-2798 ◽  
Author(s):  
Lefei Ge ◽  
Iliya Ralev ◽  
Annegret Klein-Hessling ◽  
Shoujun Song ◽  
Rik W. De Doncker
Keyword(s):  
Flux Linkage ◽  
Switched Reluctance ◽  
Switched Reluctance Machines

scholarly journals A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 405
Author(s):  
Marcelo Vinícius de Paula ◽  
Tárcio André dos Santos Barros
Keyword(s):  
Goodness Of Fit ◽  
Electric Machines ◽  
Experimental Results ◽  
Sensor Calibration ◽  
Integration Process ◽  
Flux Linkage ◽  
Switched Reluctance ◽  
Control Techniques ◽  
Switched Reluctance Machines ◽  
Iron Losses

Assessing the flux linkage is an important feature for electric machines, including switched reluctance machines. However, sensor calibration errors and noise impose a problem known as drift, which is caused by the integration process used to estimate the flux linkage. This paper proposes a flux linkage estimation with a drift cancellation technique. The technique accounts for the switched reluctance machine’s working and driving principles. Simulation and experimental results are used to validate the proposed method. Additionally, a goodness-of-fit analysis is performed to support the outcomes. A R 2 factor of 0.9823 is found between the experimentally and simulation-estimated flux linkage. The results indicate that the method works properly and may be further used in control techniques and iron losses estimation.

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