*Enlace a Spanish version
Materials: [ Cód.: LinearIntuitiveOrder2ENG.mlx ] [ PDF ]
This video uses the same methodology as the video [
The only idea needed in both videos is linearity/superposition/time invariance, the model (e.g. transfer function or similar) is not used at any time to calculate the input profile.
The previous video we were commenting on used a first-order process, in which the technique worked perfectly. Here, it is applied to a “secret” process that is actually of order 2, so that “inertia” means that when the input that maintains the desired equilibrium point is applied in the second step, there is an overshoot. The overshoot decreases if the first step (which accelerated faster) is made shorter, but then the desired place is not reached exactly. Refining this, either with an additional step of “braking”, or in a closed loop (PID control), is obviously not part of the objectives of this video, which only tries to reinforce the concept of “linearity” and “time invariance” of a dynamic system.
*Link to my [ whole collection] of videos in English. Link to larger [ Colección completa] in Spanish.