Name
Title | ||
|---|---|---|
A New Formulation of Reactive Power Based Model Reference Adaptive System for Sensorless Induction Motor Drive |
Abstract | ||
|---|---|---|
Various functional candidates such as flux, backemf, reactive power etc. are used to form a model reference adaptive system (MRAS) to estimate speed of an induction motor (IM) drive. Of these, reactive power (Q) based controllers perform well at low speeds and are inherently independent of stator resistance. However, such configuration fails to provide stability in the regenerative mode. This paper proposes a new formulation of Q-based MRAS that is stable in all the four quadrants of operation. A detailed MATLAB/SIMULINK based simulation study is presented. Superior performance of the proposed controller is confirmed by prototype experimentation using an FPGA based controller in the laboratory. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIE.2015.2432105 | IEEE Trans. Industrial Electronics |
Keywords | Field | DocType |
Field-programmable gate arrays (FPGAs), induction motors (IMs), model reference adaptive system (MRAS), reactive power, sensorless control, variable-speed drives, vector control | Control theory,Induction motor,MATLAB,MRAS,Control theory,Adaptive system,AC power,Control engineering,Counter-electromotive force,Stator,Engineering | Journal |
Volume | Issue | ISSN |
PP | 99 | 0278-0046 |
Citations | PageRank | References |
4 | 0.48 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. V. Ravi Teja | 1 | 4 | 0.48 |
| Vimlesh Verma | 2 | 36 | 2.53 |
| Chandan Chakraborty | 3 | 537 | 50.60 |