21 مهر 1403
علي هاشمي

علی هاشمی

مرتبه علمی: استادیار
نشانی: دانشکده مهندسی کشاورزی - گروه علوم و مهندسی باغبانی
تحصیلات: دکترای تخصصی / مهندسی بیو مکانیک
تلفن: 077331221303
دانشکده: دانشکده مهندسی کشاورزی

مشخصات پژوهش

عنوان An Artificial Neural Network Modeling for Force Control System of a Robotic Pruning Machine
نوع پژوهش مقالات در نشریات
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مجله Journal of Information and Organizational Sciences
شناسه DOI
پژوهشگران علی هاشمی (نفر اول) ، کیوان آصف پور وکیلیان (نفر دوم) ، جواد خزایی (نفر سوم) ، جعفر مساح (نفر چهارم)

چکیده

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.