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Simulation Of Sensorless Induction Motor Based On Model Reference Adaptive System ( MRAS )
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kumar, K. Kiran Sasikanth, S. Dinesh, L. |
| Copyright Year | 2012 |
| Abstract | Over the past two decades technological advances in power electronics and an increasing demand for high performance industrial machinery has contributed to rapid developments in digital motor control. The aim of this paper is to develop a vector controlled induction motor drive operating without a speed or position sensor but having a dynamic performance comparable to a sensored vector drive. This thesis presents the control of an induction motor through sensorless vector control. The theoretical basis of each algorithm is explained in detail and its performance is tested with simulations implemented in MATLAB/SIMULINK. Vector control of induction motor is based upon the field-oriented co-ordinates aligned in the direction of the rotor m.m.f. However, there is no direct means of measuring the rotor flux linkage position ρ and therefore an observer is needed to estimate ρ for the implementation of sensorless vector control. First the Dynamic model of induction machine was developed in the arbitrary reference frame. With the help of synchronous reference frame model the indirect field oriented vector control, which is very popular and convenient method in real time implementation was developed. Third, Model Reference Adaptive System is studied as a state estimator. Rotor flux estimation scheme is applied to MRAS algorithm to estimate rotor speed. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijera.com/papers/Vol2_issue6/AO26255260.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |