Original scientific paper

https://doi.org/10.21278/TOF.41306

Implementation of a Virtual Autonomous Excavator

Hong-Seok Park ; School of Mechanical and Automotive Engineering, University of Ulsan, Nam-gu, Ulsan, South-Korea
Duc-Viet Dang orcid.org/0000-0003-2713-6728 ; School of Mechanical and Automotive Engineering, University of Ulsan, Nam-gu, Ulsan, South-Korea
Trung-Thanh Nguyen orcid.org/0000-0002-0838-872X ; School of Mechanical and Automotive Engineering, University of Ulsan, Nam-gu, Ulsan, South-Korea
Ngoc-Tran Le ; School of Mechanical and Automotive Engineering, University of Ulsan, Nam-gu, Ulsan, South-Korea

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.

Keywords

autonomous excavator; digging process; virtual prototyping; multi-body simulation

Hrčak ID:

187775

URI

https://hrcak.srce.hr/187775

Publication date:

18.10.2017.

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