System gains configuration and coordination of redundant degrees of freedom by genetic algorithms for multi-axis machine system in manufacturing |
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| Affiliation: | 1. DISMI – University of Modena and Reggio Emilia, Reggio Emilia;2. DIN – School of Engineering and Architecture, University of Bologna, Bologna;3. C.B. Ferrari S.p.A., Modena;1. Technische Universität Dresden, George-Bähr-Str. 3c, D-01069 Dresden, Germany;2. Fraunhofer IWS Dresden, Winterbergstrasse 28, D-01277 Dresden, Germany;1. Department of Computer Software Engineering, MCS, National University of Sciences and Technology, Islamabad, Pakistan;2. National University of Sciences and Technology, Islamabad, Pakistan;3. Department of Computer Science and IT, University of Lahore, Pakistan;4. Deparment of Computer Science, UET Taxila, Taxila 47080, Pakistan;5. Department of Computer Science, HITEC University, Taxila, Pakistan;6. Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia;7. College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia;8. Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea;9. Center for Computational Social Science, Hanyang University, Seoul 04763, Republic of Korea |
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| Abstract: | In multi-axis machine tool systems, the configuration of system gains and the coordination of redundant degrees of freedom are often a problem of insurmountable difficulty. This study explores the use of a nontraditional scheme, the genetic algorithm, in the configuration of system gains and exploitation of redundant degrees of freedom. The off-line gains configuration functioned as a kind of system design which may serve as a starting point for on-line adaptation. The allocation of redundant DOF was done on-line. The success in this work inspired the idea of future on-line GA application and the possibility of integration of GA with other non-traditional algorithms for manufacturing. |
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