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《能源前沿(英文)》 >> 2013年 第7卷 第1期 doi: 10.1007/s11708-012-0216-8

Performance prediction of switched reluctance generator with time average and small signal models

1. Department of Electrical Engineering, Dr. Ambedkar Institute of Technology, Bangalore 560056, India; 2. Department of Electrical Engineering, CEG Campus, Anna University, Chennai 600025, India; 3. Department of Electrical Engineering, SSN Engineering of College, Chennai 603110, India

发布日期: 2013-03-05

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摘要

This paper presents the complete mathematical model and predicts the performance of switched reluctance generator with time average and small signal models. The complete mathematical model is developed in three stages. First, a switching model is developed based on quasi-linear inductance profile. Next, based on the switching behaviour, a time average model is obtained to measure the difference between the excitation and generation time in each switching cycle. Finally, to track control voltage and current wave shapes, a small signal model is designed. The effectiveness of the complete multilevel model combining electrical machine, power converter, load and control with programming language is demonstrated through simulations. A PI controller is used for controlling the voltage of the generator. The results presented show that the controller exhibits accurate tracking control of load voltage under different operating conditions. This demonstrates that the proposed model is able to perform an accurate control of the generated output voltage even in transient situations. The simulation is performed to choose the control parameters and study the performance of switched reluctance generator prior to its actual implementation. Initial experimental results are presented using NI-Data acquisition card to control the output power according to load requirements.

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