Abstract
Adaptive an wavelet backstepping control (WARBC) systems is proposed for electro-hydraulic servo systems. Two wavelet neural networks are used to approach the arbitrary model uncertainties of electro-hydraulic servo system, and all their weights are trained online. Novel update and control laws are proposed to guarantee that all the signals in the closed-loop control system are uniformly ultimately bounded (UUB) in a Lyapunov sense. As a result, the aim of electro-hydraulic servo system's tracking control can be achieved. In addition, a robust compensator is designed to improve the tracking performance. Finally, a computer simulation example is presented to illustrate the effectiveness and applicability of the suggested proposal.
| Original language | English |
|---|---|
| Pages (from-to) | 405-409 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 28 |
| Issue number | 5 |
| Publication status | Published - May 2008 |
Keywords
- Adaptive robust control
- Backstepping control
- Electro-hydraulic system
- Wavelet neural network