• 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