Abstract
In this paper, using the three-phase Induction Motor(IM) fifth order model in a stationary two axis reference frame whit stator current and rotor flux as state variables, a conventional backstepping controller is designed first for speed and rotor flux control of an IM drive. Then in order to make the control system stable and robust against the parameter uncertainties as well as the unknown load torque, in the next stage the backstepping controller is combined with an Artificial Neural Network (ANN). It will be shown that the proposed composite controller is capable of compensating the parameters variations and rejecting the external load torque disturbance. The overall system stability is proved by Lyapunov theory. It is also shown that the method of ANN training, guarantees the boundedness of errors and ANN weighs. The validity and effectiveness of the controller is verified by computer simulation.
| Original language | English |
|---|---|
| Title of host publication | 2006 CES/IEEE 5th International Power Electronics and Motion Control Conference |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1038-1042 |
| Number of pages | 5 |
| ISBN (Print) | 1424404487, 9781424404483 |
| DOIs | |
| Publication status | Published - 14 Aug 2007 |
| Event | IPEMC 2006: CES/IEEE 5th International Power Electronics and Motion Control Conference - Shanghai, China Duration: 14 Aug 2006 → 16 Aug 2006 |
Conference
| Conference | IPEMC 2006: CES/IEEE 5th International Power Electronics and Motion Control Conference |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 14/08/06 → 16/08/06 |
Keywords
- ANN
- backstepping
- induction motor
- nonlinear systems
- robust