| Autor: |
Xiao Chen, Zhencai Zhu, Tianbing Ma, Jucai Chang, Xiangdong Chang, Wanshun Zang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Actuators, Vol 11, Iss 10, p 299 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2076-0825 |
| DOI: |
10.3390/act11100299 |
| Popis: |
As an important equipment for deep well hoisting, the safe and stable operation of the Blair mine hoist is vital for the development and utilization of deep mineral resources. However, it is always a challenging task to keep consistent wire rope tension in the event of an actuator fault. In this study, an adaptive dynamic surface technology-based actuator fault-tolerant scheme is proposed. A fault observer with a neural network adaptation term is designed to estimate the loss of actuator efficiency caused by faults. Considering the redundant characteristic of the two actuators, a novel dynamic surface technology-based controller with a fuzzy assignment and state constraints is developed to eliminate the impact of fault. The stability of the closed-loop system under the proposed strategy is theoretically proved by rigorous Lyapunov analysis. Comparative experiments under various conditions are carried out on a xPC based mine hoist platform, and the results show the applicability together with the superiority of the proposed scheme. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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