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.

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

Inductance estimation method for linear switched reluctance machines considering iron losses

2016 ◽  
Vol 10 (3) ◽  
pp. 181-188 ◽  
Author(s):  
Qianlong Wang ◽  
Hao Chen ◽  
Tong Xu ◽  
Jinxia Yuan ◽  
Jiewei Wang ◽  
...  
Keyword(s):  
Estimation Method ◽  
Switched Reluctance ◽  
Switched Reluctance Machines ◽  
Iron Losses

scholarly journals An educational tool to assist the design process of switched reluctance machines

2016 ◽  
Vol 54 (1) ◽  
pp. 35-56 ◽  
Author(s):  
Jordi-Roger Riba ◽  
Antoni Garcia ◽  
Itamar Romero
Keyword(s):  
Design Process ◽  
Engineering Students ◽  
Design Procedure ◽  
Electric Machines ◽  
Educational Tool ◽  
Graduate Courses ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines ◽  
Electrical Vehicles

The design of electric machines is a hot topic in the syllabuses of several undergraduate and graduate courses. With the development of hybrid and electrical vehicles, this subject is gaining more popularity, especially in electrical engineering courses. This paper presents a computer-aided educational tool to guide engineering students in the design process of a switched reluctance machine. A step-by-step design procedure is detailed and a user guide interface programmed in the Matlab® environment developed for this purpose is shown. This user guide interface has been proved a useful tool to help the students to validate the results obtained in their lecture assignments, while aiding to achieve a better understanding of the design process of electric machines. A validation of the educational tool is done by means of finite element method simulations.

Adaptive Feedforward Control Applied in Switched Reluctance Machines Drive Speed Control in Fault Situations

2017 ◽  
Vol 140 (5) ◽  
Author(s):  
Wellington A. Silva ◽  
Bismark C. Torrico ◽  
Wilkley B. Correia ◽  
Laurinda L. N. dos Reis
Keyword(s):  
Feedforward Control ◽  
Frequency Noise ◽  
Switched Reluctance ◽  
Control Approach ◽  
Control Techniques ◽  
Switched Reluctance Machines ◽  
Drive Speed ◽  
Converter Topology ◽  
And Control ◽  
Adaptive Feedforward

Many industrial and laboratory applications which make use of electric machines require noninterruption operation, even in the presence of faults, such as power generation and electric vehicles. Under fault scenarios, the performance of the system is expected to degrade and control techniques may be helpful to overcome this issue. Within this context, phase faults are obviously undesired, as may lead the machine to stop operating. Switched reluctance machines (SRM), due to its inherit characteristics, are naturally tolerant to phase faults, despite the loss of performance. Most of the techniques used to improve the performance of SRMs in fault situations are related to the switching feed converter. Regarding this issue, instead of presenting an alternative converter topology, this work alternatively proposes a control approach which significantly reduces the phase faults effects on the speed of the motor. Furthermore, the high-frequency noise is attenuated when compared to the classical proportional–integral (PI) controller, commonly applied to control such sort of motors. The proposed SRM-adaptive feedforward control (AFC) controller is able to recover the speed of operation faster than a classical approach, when a feedforward action is not taken into account.

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