Comparison between the steady-state performance of self-excited reluctance and induction generators

1990 ◽  
Vol 5 (3) ◽  
pp. 519-525 ◽  
Author(s):  
Y.H.A. Rahim ◽  
A.L. Mohamadien ◽  
A.S. Al Khalaf
Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3166
Author(s):  
Krzysztof Makowski ◽  
Aleksander Leicht

This paper deals with the computation of the performance characteristics of the single-phase self-excited induction generator by field–circuit method. It presents and compares previously unpublished results—self-excitation and no-load characteristics of the generator for different rotor speeds, and complete load steady-state performance characteristics for various types of the core materials. The discrepancies between the performance characteristics of the generator for the catalog’s magnetization curves of different types of electrical sheets and for an actual magnetic core of the generator for self-excitation transients and load steady-state are presented. The results may be useful for designing new constructions of single-phase self-excited induction generators.


Author(s):  
S. Singaravelu ◽  
S. Sasikumar

This paper presents a simple and generalized steady state model and analysis of six-phase self-excited induction generators. The developed matrix equation is formulated using nodal admittance method based on inspection. This model does not involve any lengthy derivations of nonlinear equations which are followed so far. Also this model is flexible such that inclusion or elimination of any equivalent circuit elements can be carried out easily. Moreover, this model can be used to find any combination of unknown quantities of the equivalent circuit. To determine the steady state performance of six-phase self-excited induction generators, applications of genetic algorithms have been proposed. In addition, the details of winding scheme of the six-phase induction generator which is used as prototype model for the experimental study is also presented. The experimental and theoretical results are found to be in close agreement, which validates the proposed method.


10.2514/3.895 ◽  
1997 ◽  
Vol 11 ◽  
pp. 306-309 ◽  
Author(s):  
Edwin H. Olmstead ◽  
Edward S. Taylor ◽  
Meng Wang ◽  
Parviz Moin ◽  
Scott K. Thomas ◽  
...  

2020 ◽  
Vol 14 ◽  
Author(s):  
Gang Liu ◽  
Dong Qiu ◽  
Xiuru Wang ◽  
Ke Zhang ◽  
Huafeng Huang ◽  
...  

Background: The PWM Boost converter is a strongly nonlinear discrete system, especially when the input voltage or load varies widely, therefore, tuning the control parameters of which is a challenge work. Objective: In order to overcome the issues, particle swarm optimization (PSO) is employed for tuning the parameters of a sliding mode controller of a boost converter. Methods: Based on the analysis of the Boost converter model and its non-linear characteristics, a mathematic model of a boost converter with a sliding mode controller is built firstly. Then, the parameters of the Boost controller are adjusted based on the integrated time and absolute error (ITAE), integral square error (ISE) and integrated absolute error (IAE) indexes by PSO. Results: Simulation verification was performed, and the results show that the controllers tuned by the three indexes all have excellent robust stability. Conclusion: The controllers tuned by ITAE and ISE indexes have excellent steady-state performance, but the overshoot is large during the startup. The controller tuned by IAE index has better startup performance and slightly worse steady-state performance.


Author(s):  
Siow Chun Lim ◽  
Mohd Zainal Abidin Abd Kadir ◽  
Chandima Gomes ◽  
Norhafiz Azis

2015 ◽  
Author(s):  
Terrence Dickerson ◽  
Andrew McDaniel ◽  
Sherry Williams ◽  
Dianne Luning-Prak ◽  
Len Hamilton ◽  
...  

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