naa a22 4500 510731406 CHVBK 20180411082954.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11708-012-0216-8 doi (NATIONALLICENCE)springer-10.1007/s11708-012-0216-8 Performance prediction of switched reluctance generator with time average and small signal models [Elektronische Daten] [Jyoti Koujalagi, B. Umamaheswari, R. Arumugam] 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. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2012 generator nationallicence reluctance nationallicence switching model nationallicence small signal model nationallicence time average model nationallicence Koujalagi Jyoti Department of Electrical Engineering, Dr. Ambedkar Institute of Technology, 560056, Bangalore, India aut Umamaheswari B. Department of Electrical Engineering, CEG Campus, Anna University, 600025, Chennai, India aut Arumugam R. Department of Electrical Engineering, SSN Engineering of College, 603110, Chennai, India aut Frontiers in Energy SP Higher Education Press 7/1(2013-03-01), 56-68 2095-1701 7:1<56 2013 7 11708 https://doi.org/10.1007/s11708-012-0216-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-012-0216-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Koujalagi Jyoti Department of Electrical Engineering, Dr. Ambedkar Institute of Technology, 560056, Bangalore, India aut NATIONALLICENCE 700 1- Umamaheswari B. Department of Electrical Engineering, CEG Campus, Anna University, 600025, Chennai, India aut NATIONALLICENCE 700 1- Arumugam R. Department of Electrical Engineering, SSN Engineering of College, 603110, Chennai, India aut NATIONALLICENCE 773 0- Frontiers in Energy SP Higher Education Press 7/1(2013-03-01), 56-68 2095-1701 7:1<56 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer