Master

Khyzhnyak Pavel Anatolevych

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Faculty:
Electrotechnikal
Specialty:
Electromechanics systems of automation and electrical drive
Theme of master degree work:
Researching of electric drives and control systems by the technological complex of bituminous emulsification with the purpose of their perfection.
Head:
Kotsegub P.H.









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A fuzzy control system for an automated mining excavator


Lever, P.J.A. Fei-Yue Wang Deqian Chen
Dept. of Min. & Geol. Eng., Arizona Univ., Tucson, AZ;


This paper appears in: Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Publication Date: 8-13 May 1994
On page(s): 3284-3289 vol.4
Meeting Date: 05/08/1994 - 05/13/1994
Location: San Diego, CA, USA
ISBN: 0-8186-5330-2
References Cited: 9
INSPEC Accession Number: 4824403
Digital Object Identifier: 10.1109/ROBOT.1994.351065
Posted online: 2002-08-06 19:19:19.0



Abstract
To automate a mining excavator the control issues resulting from environmental uncertainties must be solved. In particular the interactions between the excavation tool and the excavation environment are dynamic, unstructured and complex. Thus, generating rigorous mathematical models as required by conventional control techniques is extremely difficult if possible. This paper presents an excavator controller that uses fuzzy logic to interpret forces and torques gathered from a wrist mounted force/torque sensor during the excavation process. This approach enables the transfer of human heuristics and expert knowledge to the controller. Experimental results from several excavation tests using the fuzzy logic controller are given. These results represent the first step toward an integrated approach that uses force/torque, vision, and other sensor data to perform generic tasks in uncertain mining environments


Интернет ресурс:http://ieeexplore.ieee.org/xpl/


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