Name
Title | ||
|---|---|---|
Modeling and H ∞ Robust Control of a Smart Structure with Rate-dependent Hysteresis Nonlinearity |
Abstract | ||
|---|---|---|
The performance of smart structures in trajectory tracking under sub-micron level is hindered by the rate-dependent hysteresis nonlinearity. In this paper, a Hammerstein-like model based on the support vector machines (SVM) is proposed to capture the rate-dependent hysteresis nonlinearity. We show that it is possible to construct a unique dynamic model in a given frequency range for a rate-dependent hysteresis system using the sinusoidal scanning signals as the training set of signals for the linear dynamic subsystem of the Hammerstein-like model. Subsequently, a two-degree-of-freedom (2DOF) H ∞ robust control scheme for the rate-dependent hysteresis nonlinearity is implemented on a smart structure with a piezoelectric actuator (PEA) for real-time precision trajectory tracking. Simulations and experiments on the structure verify both the effectiveness and the practicality of the proposed modeling and control methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s11633-014-0765-x | International Journal of Automation and Computing |
Keywords | DocType | Volume |
Rate-dependent hysteresis, Hammerstein-like model, support vector machines (SVM), H∞ robust control, piezoelectric actuator | Journal | 11 |
Issue | ISSN | Citations |
1 | 1751-8520 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Liu | 1 | 1 | 1.04 |
| Zhenyan Wang | 2 | 2 | 2.50 |
| zhen zhang | 3 | 0 | 0.34 |
| Jianqin Mao | 4 | 30 | 6.89 |
| Kemin Zhou | 5 | 372 | 59.31 |