Adaptive H-infinity SMC-based Model Reference Tracker for Uncertain Nonlinear Systems with Input Nonlinearity
| Autor: | Jun-Juh Yan, Jiunn Shiou Fang, Jason Sheng Hong Tsai, Shu Mei Guo |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Computer simulation Computer science 02 engineering and technology Tracking (particle physics) Sliding mode control Computer Science Applications Nonlinear system 020901 industrial engineering & automation H-infinity methods in control theory Control and Systems Engineering Control theory Robustness (computer science) Convergence (routing) |
| Zdroj: | International Journal of Control, Automation and Systems. 19:1560-1569 |
| ISSN: | 2005-4092 1598-6446 |
| DOI: | 10.1007/s12555-019-0967-7 |
| Popis: | This paper presents a novel robust H∞ model reference adaptive tracker (MRAT) for a class of nonlinear systems with input nonlinearities, uncertainties, and mismatched disturbances. Since the bounds of input nonlinearities and uncertainties are unknown, a new adaptive controller is proposed to solve these problems. Because the proposed adaptive laws are with convergence, the adaptive gains estimated can avoid overestimation. Furthermore, the sliding mode control (SMC) is implemented integrated with a smooth function, then the undesirable chattering phenomenon is reduced. Finally, the proposed tracking controller can process the undesirable effects of external disturbances and promote the tracking performance even subjected to the unknown input nonlinearity. The numerical simulation results demonstrate the robustness and validity of the proposed tracking controller. |
| Databáze: | OpenAIRE |
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