 |
Trajectory Tracking using PD+Feedforward : |
| |
In this & are computed along the trajectory at various instants of time & these terms are feed forwarded . This is the basis of Feed forward algorithm. Along predefined path we can find out , , . We can also estimate & at various points along trajectory. So along given trajectory, actuator(i.e. motor) have to overcome following torques. |
| |
. = Effective inertia force. |
| |
. = Effective damping force. |
| |
This information is feed forwarded in this technique. |
| |
|
| |
Now Linear form with disturbance |
| |
|
| |
but Controller Equation |
| |
Substituting this controller equation , system dynamics becomes
|
|
|
| |
Define
|
 |
| |
we get |
 |
|
For zero disturbance by choosing & such that whatever settling time chosen, |
| |
|
 |
| |
One can now easily say that the tracking error is due to term. |
| |
Substituting this controller equation , system dynamics becomes
|
| |
|
| |
Here the trackting error is further reduced, |
|
Nonlinear Coriolis, centripetal gravitational forces have to be computed, hence more comutational load. |
|
Again, so far we have not seen any non-linear analysis or design of controllers . |
|
Non-linear analysis & design necessary to further improve the performance. |
| |
|