Name
Title | ||
|---|---|---|
Optimized linear active disturbance rejection control for pneumatic servo systems via least squares support vector machine. |
Abstract | ||
|---|---|---|
This paper presents an optimized linear active disturbance rejection controller to improve the response rapidity and anti-interference ability of a pneumatic servo system. Both a linear extended state observer and a least squares support vector machine are established to estimate and compensate total nonlinearity of the system. Moreover, a linear state error feedback controller is designed to ensure good performances of the closed-loop system. In addition, estimation error and tracking error are bounded and decrease with the increase of their respective eigenvalues. Lastly, simulation results show that the optimized controller has the better response rapidity and anti-interference ability than the traditional controller. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.neucom.2017.02.069 | Neurocomputing |
Keywords | Field | DocType |
Active disturbance rejection control,Pneumatic servo system,Positioning control,Least squares support vector machine (LSSVM) | State observer,Control theory,Nonlinear system,Least squares support vector machine,Control theory,Active disturbance rejection control,Servomechanism,Eigenvalues and eigenvectors,Mathematics,Tracking error | Journal |
Volume | Issue | ISSN |
242 | C | 0925-2312 |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ling Zhao | 1 | 19 | 2.70 |
| Bin Zhang | 2 | 60 | 40.23 |
| Hongjiu Yang | 3 | 702 | 51.23 |
| Qi Li | 4 | 7 | 0.86 |