Giovanni P
Mechanical
- Apr 25, 2020
- 2
Hello everyone!
I'm using a link11 to simulate a 1D actuator that moves a mechanism and to model the whole system I just used beam188 mass21 and mpc184.
Unfortunately by now I cannot reach the target stroke on the actuator, the best that I can get out of this is
stroke.input(t)=sf*stroke.output(t)
where sf is an "strange" scaling factor. Obviously strange means that I cannot relate it to the K and D (stiffness and damping,) characteristic.
I already tried to insert a high and low stiffness for a sensitivity analysis, but I cannot get the meaning of the result.
Let say the system is something like this:
n,1
n,2,1
n,3,x,y,z
D,1,UX
D,1,UY
D,1,UZ
type,yyy,...
et,yyy
e,2,3
type,xxx,link11
r,xxx,stiffness,damping
et,xxx
e,1,2
sfe,2,1,pres,1,%stroke% !stroke is a time dependent table
Any suggestion about how to obtain sf=1?
Thank you ;-)
Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin.
I'm using a link11 to simulate a 1D actuator that moves a mechanism and to model the whole system I just used beam188 mass21 and mpc184.
Unfortunately by now I cannot reach the target stroke on the actuator, the best that I can get out of this is
stroke.input(t)=sf*stroke.output(t)
where sf is an "strange" scaling factor. Obviously strange means that I cannot relate it to the K and D (stiffness and damping,) characteristic.
I already tried to insert a high and low stiffness for a sensitivity analysis, but I cannot get the meaning of the result.
Let say the system is something like this:
n,1
n,2,1
n,3,x,y,z
D,1,UX
D,1,UY
D,1,UZ
type,yyy,...
et,yyy
e,2,3
type,xxx,link11
r,xxx,stiffness,damping
et,xxx
e,1,2
sfe,2,1,pres,1,%stroke% !stroke is a time dependent table
Any suggestion about how to obtain sf=1?
Thank you ;-)
Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin.