DocumentCode
518734
Title
Ant colony algorithm based Controls´ arrangement optimization
Author
Yan, Shengyuan ; Zhang, Jingling ; Wang, Shuaiqi ; Chen, Yu
Author_Institution
Coll. of Mech. & Electr. Eng., Harbin Eng. Univ., Harbin, China
Volume
4
fYear
2010
fDate
27-29 March 2010
Firstpage
454
Lastpage
457
Abstract
For the arrangement of Controls in human-machine interface based on the multiple operating conditions, the following factors should be considered: the design principles such as the importance of Controls, operating frequency, operating sequence and relativity between the Controls, and the total motion distance of the operator´s hand. The arrangement in manual mode can hardly take all the factors above, and easily be influenced by subjective factors, so there is large randomcity in controller arrangement. Ant colony algorithm can take all the factors above into account, so it can be applied to optimization the arrangement objectively. In this paper, the importance, operating frequency, operating sequence and relativity was take as the variables, the minimum total motion distance of the operator´s hand in the multiple operating conditions as objective function, and a mathematical model for optimizing the arrangement of the Controls was established based on Ant colony algorithm. Finally, the process of optimization was introduced, and the feasibility of the optimization method was proved through a case.
Keywords
control system synthesis; optimal systems; optimisation; ant colony algorithm; controller arrangement; controls arrangement optimization; human machine interface; mathematical model; minimum total motion distance; multiple operating condition; objective function; operating frequency; operating sequence; total motion distance; Ant colony optimization; Control systems; Design optimization; Educational institutions; Frequency; Humans; Man machine systems; Mathematical model; Motion control; Power generation; ant colony algorithm; arrangemen principles; arrangement optimization; controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486881
Filename
5486881
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