期刊
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
卷 -, 期 -, 页码 1327-1332出版社
IEEE
DOI: 10.1109/coase.2019.8842946
关键词
-
资金
- CNPq
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) [88887.136349/2017-00, 001]
This paper considers the path-constrained trajectory tracking for robot manipulators optimizing a limited energy budget. The proposed strategy is based on a Nonlinear Receding Horizon Predictive Control (NRHPC) using a path parameterization of dimension one. The dynamic of the parameterized trajectory is governed by a predefined linear system, then an energy and a cost functions are defined and a NRHPC based on a Newton method is used to minimize the cost function in real time. The method is presented in both joint and task space. The proposed solution is verified on a 4 DOF manipulator with successful simulation and experimental results.
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