Trajectory Generation for a Hydraulic Mini Excavator using Nonlinear Model Predictive Control
Autonomous excavators have great potential to improve safety and to increase productivity. A common task for an excavator is to grade. Considering an autonomous grading system, a basic requirement is to perform straight line movements of the tool-center-point in the cartesian space. In this paper, a...
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Published in | 2020 IEEE International Conference on Industrial Technology (ICIT) pp. 107 - 112 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.02.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Autonomous excavators have great potential to improve safety and to increase productivity. A common task for an excavator is to grade. Considering an autonomous grading system, a basic requirement is to perform straight line movements of the tool-center-point in the cartesian space. In this paper, a nonlinear model predictive controller is used to generate straight line trajectories of the tool-center-point considering actuator constraints. The performance is verified using a validated physical simulation model. The results show that the tool-center-point follows straight lines between the desired points without violating the constraints. Furthermore, the resulting trajectories are near time-optimal. |
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ISSN: | 2643-2978 |
DOI: | 10.1109/ICIT45562.2020.9067227 |