Title :
Multi-objective performance optimization of a parallel robotic machine tool
Author :
Zhang, Dan ; Gao, Zhen
Author_Institution :
Fac. of Eng. & Appl. Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
This research is investigated on the multi-objective performance optimization of a parallel robotic machine tool which is expected to be applied as a next generation of computer numerical control (CNC) machine. The system configuration and the kinematic model are detailed introduced. The performance maps including dexterity and workspace are generated and illustrated. The multi-objective optimal performance indices are investigated based on the integration of the evolutionary algorithm and Pareto frontier sets. The developed technologies and approaches are generic and also feasible for the design, modeling and improvement of other parallel kinematic machines.
Keywords :
computerised numerical control; evolutionary computation; industrial robots; machine tools; optimisation; performance index; Pareto frontier sets; computer numerical control machine; evolutionary algorithm; kinematic model; multiobjective optimal performance indices; multiobjective performance optimization; next generation; parallel kinematic machines; parallel robotic machine tool; performance maps; system configuration; Computer numerical control; Educational institutions; Kinematics; Machine tools; Optimization; Robot kinematics; Parallel robotic machine tool; dexterity; evolutionary algorithm; multi-objective performance optimization; workspace;
Conference_Titel :
Mechatronics and Embedded Systems and Applications (MESA), 2012 IEEE/ASME International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4673-2347-5
DOI :
10.1109/MESA.2012.6275554
