Adaptive Neural Network Control of an Aerial Work Platform’s arm
文献类型：会议论文
| 作者 | Jia, Pengxiao; Li, En ; Liang, Zize; Qiang, Yanhui; En Li
|
| 出版日期 | 2012 |
| 会议名称 | The 10th World Congress on Intelligent Control and Automation (WCICA) |
| 会议日期 | 2012 |
| 会议地点 | Beijing |
| 关键词 | Neural networks, Trajectory, Adaptive systems, Adaptation models, Robots, Mathematical model, Aerospace electronics |
| 通讯作者 | Pengxiao Jia ; En Li ; Zizhe Liang ; Yanhui Qiang |
| 英文摘要 | An aerial work platform (AWP) is a type of off highway vehicle with a long beam to provide temporary access to inaccessible areas [1]. The motivation of the research is to increase its productivity, safety and reduce the manipulation complexity during the operation process. In this paper, a simplified two-link model of AWP's arm is given. The control scheme based on neural network modeling technology is employed to steer the AWP's arm to track the desired trajectories asymptotically, which requires neither the evaluation of inverse dynamical model nor the time-consuming training process. The simulation results validate the effectiveness of the proposed approach. |
| 收录类别 | EI |
| 会议录 | Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA)
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11083]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | En Li |
| 推荐引用方式 GB/T 7714 | Jia, Pengxiao,Li, En,Liang, Zize,et al. Adaptive Neural Network Control of an Aerial Work Platform’s arm[C]. 见:The 10th World Congress on Intelligent Control and Automation (WCICA). Beijing. 2012. |
入库方式： OAI收割
来源：自动化研究所
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