| International Journal of Advanced Robotic Systems | |
| Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics | |
| 关键词: Computed-Torque Control; Robot Manipulator; Adaptive Control; Fuzzy Compensator; | |
| DOI : 10.5772/54643 | |
| 学科分类:自动化工程 | |
| 来源: InTech | |
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【 摘 要 】
To overcome the disadvantages of conventional computed-torque control and fuzzy control, and to exploit their attractive features, this paper proposes two types of adaptive control scheme combining conventional computed-torque control and different fuzzy compensators for the robust tracking control of robotic manipulators with structured and unstructured uncertainties. Fuzzy compensators based on feed-forward and feed-back are developed to compensate these uncertain dynamics. On the basis of Lyapunov stability theory, a tracking error limit is derived for the closed-loop control system and the convergence and stability of the control schemes are proved. Comparisons of their performances with conventional computed-torque controllers under the condition of these uncertainties are carried out. The validity of the two types of adaptive control scheme is shown by numerical simulations of a three-link rotary robot manipulator.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902186003407ZK.pdf | 570KB |
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