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An Artificial Neural Network Modeling for Force Control System of a Robotic Pruning Machine
- Source :
- Journal of Information and Organizational Sciences, Vol 38, Iss 1 (2014)
- Publication Year :
- 2014
- Publisher :
- University of Zagreb, Faculty of organization and informatics, 2014.
-
Abstract
- Nowadays, there has been an increasing application of pruning robots for planted forests due to the growing concern on the efficiency and safety issues. Power consumption and working time of agricultural machines have become important issues due to the high value of energy in modern world. In this study, different multi-layer back-propagation networks were utilized for mapping the complex and highly interactive of pruning process parameters and to predict power consumption and cutting time of a force control equipped robotic pruning machine by knowing input parameters such as: rotation speed, stalk diameter, and sensitivity coefficient. Results showed significant effects of all input parameters on output parameters except rotational speed on cutting time. Therefore, for reducing the wear of cutting system, a less rotational speed in every sensitivity coefficient should be selected.
Details
- Language :
- English
- ISSN :
- 18463312 and 18469418
- Volume :
- 38
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Information and Organizational Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.02cfd12e3bc9456db8abe62bd329cb18
- Document Type :
- article