Abstract:
In practice, design parameters of a belt conveyor are likely drifting away
from their design values by maintenance, readjustment, retrofit, abrasion and
circumstance change. For the purpose of energy optimization, these parameters
should be estimated through experiments. In this paper, a new energy model of
a DC motor driven belt conveyor is presented. Then, based on an adaptive
observer, a parameter estimation algorithm is derived. In addition, under
a persistent excitation condition, the convergence of the parameters to the
desired values can also be concluded. Compared with the existing methods,
our methods can be implemented by measuring only the feed rate of the belt
conveyor and the angular velocity of the rotor of the DC motor.
