Dynamic Friction Control Using Dynamic Structured RFNN and Friction Parameter Estimator
A nonlinear dynamic friction control is dealt with using dynamic friction observer and intelligent cantrol. The adaptive dynamic friction obsrver based on the LuGre friction is proposed to estimate the friction parameters and a directly friction state variable The dynamic structured Fuzzy Neural Net...
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| Veröffentlicht in: | 测试科学与仪器 2011, Vol.2 (2), p.191-194 |
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| container_title | 测试科学与仪器 |
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| creator | Seong-ik HAN Kwon-soon LEE Dae-yeon YEO Sang-ok HAN Kyung-wan KOO |
| description | A nonlinear dynamic friction control is dealt with using dynamic friction observer and intelligent cantrol. The adaptive dynamic friction obsrver based on the LuGre friction is proposed to estimate the friction parameters and a directly friction state variable The dynamic structured Fuzzy Neural Network （RFNN） is designed to give additional robustness to the cantrol system under the presence of the friction model uncertainty. A proposed composite cantrol scheme is applied to the position tracking control of the servo systen. The performances of the proposed friction observer and the friction controller are demonstrated by simulation. |
| doi_str_mv | 10.3969/j.issn.1674-8042.2011.02.22 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1674-8042 |
| ispartof | 测试科学与仪器, 2011, Vol.2 (2), p.191-194 |
| issn | 1674-8042 |
| language | eng |
| recordid | cdi_wanfang_journals_cskxyyq201102022 |
| source | Alma/SFX Local Collection |
| subjects | 不确定性 位置跟踪控制 动态摩擦 动态结构 参数估计 控制处理 模糊神经网络 线控系统 |
| title | Dynamic Friction Control Using Dynamic Structured RFNN and Friction Parameter Estimator |
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