Downloads provided by UsageCounts
{"references": ["G K.Matsuse, Y.Kouno, H.Kawai, J.Oikawa, \"Characteristics of speed\nsensor-less vector controlled dual induction motor drive connected in\nparallel fed by a single Inverter\", IEEE Trans. Ind. Appl., vol. 40, pp.\n153-161, Jan./Feb. 2004.", "Wang Ruxi, Wang Yue, Dong Qiang He Yanhui and Wang Zhaoan,\n\"Study of control methodology for single inverter parallel connected\ndual induction motors based on the dynamic model\", IEEE PESC'06,\n2006.", "B. K. Bose, \"Modern Power Electronics and AC Drives\", Upper Saddle\nRiver, NJ: pp.348-350, Prentice-Hall, 2001.", "Yoshinaga T., Terunuma T. and Matsuse K., \"Basic characteristic of\nparallel connected dual induction motor drives with matrix converter\",\nIn: Proceedings of 34th Annual conference of IEEE Ind. Electronics,\n2008, pp.584-589.", "Osawa A., Yamazaki M. and Matsuse K., \"Vector control method of\nparallel connected induction motor drives fed by a matrix converter\", In:\nProceedings of IEEE IAS meeting, Oct. 2011.", "Osawa A., Yamazaki M. and Matsuse K., \"Vector control method and\ndriving characteristics of parallel connected induction motor drives fed\nby a matrix converter\", In: Proceedings of IEEE power engineering\nconference, 2011.", "Masao Yano, Satoru Kuramoti and Hiroyuki Matsuda, \"Vector control\nmethod of parallel connected induction motors\", Electrical engineering\nreport, pp. 34-39, NR-12, Nov.2001.", "H. Kubota, I.Sato, Y. Tamura, K.Matuse, H. Ohta and Y. Hori,\n\"Regenerative mode low speed operation of induction motor drive with\nadaptive observer\", IEEE Trans. Ind. Appl., vol.38, no.4, pp.1081-1086,\nJuly/Aug. 2002.", "Lennart Harnefors Marko Hinkkanen, \"Complete stability of reducedorder\nand full-order observers for sensorless IM drives\", IEEE Trans.\nInd. Eelectron., vol. 55, no. 3, pp.1319-1329, March 2008.\n[10] Hisao Kubota, Kouki Matsuse and Takayoshi Nakano, \" DSP-based\nspeed adaptive flux observer of induction motor\", IEEE Trans. Ind.\nAppl., vol. 29, no. 2, pp.344-348, March/April 1993.\n[11] P. Vaclavek and P. Blaha, \"Lyapunov function based flux and speed\nobserver for AC induction motor sensorless control and parameter\nestimation\", IEEE Trans. Ind. Electron., vol. 53, no.1, Feb. 2006.\n[12] R. Krishnan, \"Electric motor drives modeling, analysis and control\", pp.\n492-501, PHI learning private limited, New Delhi, 2001.\n[13] R. Gunabalan, V. Subbiah, \"Speed sensorless vector control of parallel\nconnected induction motor drive with fuzzy controller\", In: Proceedings\nof IEEE conference (ICCIC'12), 2012, pp. 473-478.\n[14] Lab-view control design user manual, National Instruments, 2008."]}
This paper discusses the novel graphical approach for stability analysis of multi induction motor drive controlled by a single inverter. Stability issue arises in parallel connected induction motors under unbalanced load conditions. The two powerful globally accepted modeling and simulation software packages such as MATLAB and LabVIEW are selected to perform the stability analysis. The stability investigation is performed for different load conditions and difference in stator and rotor resistances among the two motors. It is very simple and effective than the techniques presented to obtain the stability of the parallel connected induction motor drive under unbalanced load conditions. Approximate transfer functions are considered to model the induction motors, load dynamics, speed controllers and inverter. Simulink library tools are utilized to model the entire drive scheme in MATLAB. Stability study is discussed in LabVIEW using control design and simulation toolkits. Simulation results are illustrated for various running conditions to demonstrate the effectiveness of the transfer function method.
Transfer function model., Modeling, Stability analysis, Induction motor
Transfer function model., Modeling, Stability analysis, Induction motor
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 | |
| downloads | 5 |

Views provided by UsageCounts
Downloads provided by UsageCounts