Abstract
Most existing wind turbine generation systems (WTGS) are based on double-fed induction generator (DFIG) and direct-drive synchronous generator (DDSG). In this paper, we investigate the modeling and controller design of a novel front-end speed regulation (FESR) wind turbine with differential variable ratio gearbox (VRG). For this wind turbine, a surface mount permanent magnet synchronous motor (SPMSM) unit is embedded to maintain the constant (i.e., synchronous) speed of the generator shaft over wide range of wind speed, which allows the conventional synchronous generator to be used to construct a grid-friendly WTGS. Compared with DFIG and DDSG, the novel FESR does not use converters for grid-connecting but adopt SPMSM to ensure the synchronous speed. A model-independent speed control algorithm for maximum power point tracking (MPPT) is developed based on a neuro-adaptive backstepping approach. Theoretical analysis and numerical simulations show that the proposed control scheme ensures more precise motor speed tracking in the presence of parameter uncertainties and external load disturbances.
| Original language | English |
|---|---|
| Pages (from-to) | 4073-4087 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Power Electronics |
| Volume | 33 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This work was supported in part by the Beijing Natural Science Foundation under Grant 4174103, in part by the National Natural Science Foundation of China under Grants 61603030, 51207007, and U1534208, and in part by the China Postdoctoral Science Foundation under Grants 2016M590040 and 2017T100032.
Keywords
- Front-end speed regulation (FESR)
- Neuro-adaptive control
- Permanent magnet synchronous motor (PMSM)
- Variable ratio gearbox (VRG)
- Wind turbine generation systems (WTGS)