چكيده فارسي :
In this paper we attend to input optimization of Geneva
mechanism to improve its kinematic characteristic. The
aim of this work is to reduce maximum acceleration and
jerk, also to lowering shock at the beginning and the end
of contact between driver and driven wheels. In order to
optimization, first non-dimensional motion equations
are extracted and then particle swarm algorithm with
considering different objective functions is applied to
optimize velocity of driven wheel to improve kinematic
characteristic of Geneva mechanism. This work is done
first for minimizing of maximum acceleration and jerk;
then using the previous objective function considering
shock at the beginning and the end of contact between
driver and driven wheels is applied. At last a new
objective function has been proposed to decrease the
maximum acceleration, jerk and shock at the beginning
and the end of contact between driver and driven
wheels. Results in first optimization, showed 30% and
77% decrease in peak acceleration and jerk
simultaneously, but notable increase in initial and final
contact shocks. At second optimization considering
absence of shock in beginning and end of contact led to
33% increase in acceleration and 30% decrease in peak
jerk. In the third case, the best results were obtained,
that led to 19% and 62% decrease in peak acceleration
and peak jerk respectively and also, lower shock at the
beginning and the end of contact between driver and
driven wheels respect to constant input speed.
