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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.


A collaborative assembly for low-voltage electrical apparatuses*#

Author(s):  Huanpei LYU, Libin ZHANG, Dapeng TAN, Fang XU

Affiliation(s):  College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China; more

Corresponding email(s):   lvhuanpei@nbufe.edu.cn, lbz@zjut.edu.cn, tandapeng@zjut.edu.cn, fangx@zjut.edu.cn

Key Words:  Low-voltage electrical apparatus, Collaborative assembly, Artificial potential field-based planning, Adaptive quantum genetic algorithm, Dynamic interaction

Huanpei LYU, Libin ZHANG, Dapeng TAN, Fang XU. A collaborative assembly for low-voltage electrical apparatuses*#[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Huanpei LYU, Libin ZHANG, Dapeng TAN, Fang XU",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T A collaborative assembly for low-voltage electrical apparatuses*#
%A Huanpei LYU
%A Libin ZHANG
%A Dapeng TAN
%A Fang XU
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100423

T1 - A collaborative assembly for low-voltage electrical apparatuses*#
A1 - Huanpei LYU
A1 - Libin ZHANG
A1 - Dapeng TAN
A1 - Fang XU
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100423

low-voltage electrical apparatuses (LVEAs) have many work-pieces and intricate geometric structures, and the assembly process is rigid, and labor intensive, and has little balance. The assembly process cannot readily to changes in assembly situations. To address these issues, a collaborative assembly is proposed. Based on the requirements of collaborative assembly, a colored Petri net (CPN) model is proposed to analyze the performance of the interaction and self-government of robots in collaborative assembly. Also, an artificial potential field-based planning algorithm (AFPA) is presented to realize the assembly planning and dynamic interaction of robots in the collaborative assembly of LVEAs. Then an adaptive quantum genetic algorithm (AQGA) is developed to optimize the assembly process. Lastly, taking a two-pole circuit-breaker controller with leakage protection (TPCLP) as an assembly instance, comparative results show that the collaborative assembly is cost-effective and flexible in LVEA assembly. The distribution of resources can be also optimized in the assembly. The assembly robots can interact dynamically interaction with each other to accommodate changes that may occur in the LVEA assembly.

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