DocumentCode
1727170
Title
The synthesis of hybrid five-bar path generating mechanisms using genetic algorithms
Author
Connor, A.M. ; Douglas, S.S. ; Gilmartin, M.J.
Author_Institution
Liverpool John Moores Univ., UK
fYear
1995
Firstpage
313
Lastpage
318
Abstract
This paper presents a methodology for the synthesis of multi-degree of freedom mechanisms using genetic algorithms. A Five-Bar mechanism is a 2-DOF system which requires two inputs to fully describe the output motion. In a hybrid mechanism, one of these inputs is supplied by a constant velocity (CV) motor and one is supplied by a programmable servo motor. Such configurations can have considerable savings in power consumption, when the armature inertia of the servo motor is low when compared to the load inertia. In the presented synthesis of such mechanisms the two inputs required are provided by the CV input and the desired position of the end effector. The genetic algorithm is used to search for the optimum link lengths and ground point positions to minimise a multi-criteria objective function. The criteria which contribute to the objective function value are the error between the actual path of the end effector and the desired path, the mobility of the mechanism, and the RMS value of the servo motor displacements
Keywords
control system synthesis; dynamics; genetic algorithms; optimal control; search problems; servomotors; 2-DOF system; armature inertia; constant velocity motor; end effector; genetic algorithms; ground point positions; hybrid five-bar path generating mechanism; load inertia; multicriteria objective function; multidegree of freedom mechanism synthesis; objective function value; optimum link lengths; output motion; power consumption; programmable servomotor; servomotor displacement;
fLanguage
English
Publisher
iet
Conference_Titel
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)
Conference_Location
Sheffield
Print_ISBN
0-85296-650-4
Type
conf
DOI
10.1049/cp:19951068
Filename
501691
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