Please use this identifier to cite or link to this item: http://thuvienso.bvu.edu.vn/handle/TVDHBRVT/19074
Title: Implementation of a virtual autonomous excavator
Authors: Park, Hong Seok
Dang, Duc Viet
Nguyen, Trung Thanh
Le, Ngoc Tran
Keywords: Autonomous excavator
Digging process
Issue Date: 2017
Series/Report no.: Transactions of famena XLI-3 (2017);tr. 65-80
Abstract: Automation of digging processes is a way to improve building efficiency and prevent workplace accidents. The objective of this study was to develop an intelligent excavator by means of virtual prototyping technology which takes working disturbances into consideration. Firstly, a multi-body simulation model (MBS) was developed to investigate the excavator behaviour and reaction forces with respect to soil characteristics. Subsequently, an adaptive sliding-mode PID controller with a fuzzy compensator (ASMPIDF) was proposed to perform autonomous functions. Finally, a co-simulation of the mechanical model and the virtual controller was conducted to derive adaptive trajectories of the excavator joints. The low simulated values of overshoot, settling time, and steady-state error demonstrate that the proposed approach is feasible and effective in developing intelligent behaviours of the excavator. Therefore, this study is expected to contribute to digging processes to become safer and more efficient
Description: 16 pp.
URI: http://thuvienso.bvu.edu.vn/handle/TVDHBRVT/19074
ISSN: 1849-1391
Appears in Collections:Công ghệ thực phẩm - Kỹ thuật hoá học (Articles)

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