2016 AIChE Annual Meeting
(684g) Tracking Control of Boundary Controlled Continuum Models of Production Systems
described by nonlocal spatially distributed continuous transport models, see [1] and [2].
This description is suitable, e.g., for a semiconductor factory which produces a large number
of items in a large number of steps. The considered continuum model satises conservation law,
and the appropriate mathematical variable representing the production flow is a products density.
Moreover, the production flow velocity of the conservative production system is given by
hyperbolic PDE depending only on the products density and it is constant cross the entire system
at a given time. Actually, this implies that in a real factory, all parts move through the factory with
same speed at a given time.
Controlling the production rate of a manufacture production system is an important goal in
manufacturing: producing too little of an item results in the lost sales and backlog costs while
producing too much leads to inventory and holding costs. In order to maximize protability, a
production system has to be able match its projected demand. Although demand is stochastic
over a given time period, a business typically generates a demand forecast for the next day,
week, month, etc and runs its production system to match this demand accordingly and this
demand can be modelled by a known signal process which is given by a so called exosystem.
In this work, we will develop a control law that controls the outflux of the continuum model
solely by regulating the influx to achieve demanded tracking of targeted production. In [3],
the theory about the output feedback stabilization of the considered continuum model has
been investigated and important results in [3] assist to construct the boundary control law in
such a way that the targeted demand tracking can be realized in the framework of internal
model control. Furthermore, the solvability of resulting regulator equations is discussed and
the solvability conditions is provided.
Finally, computer simulation will be presented to show the performance of the proposed
controller, in other words, the demanded tracking production can be achieved.
[1] Armbruster, D., Marthaler, D. E., Ringhofer, C., Kempf, K., and Jo, T. C. (2006). A contin-
uum model for a re-entrant factory. Operations research, 54(5), 933--950.
[2] Marca, M. L., Armbruster, D., Herty, M., and Ringhofer, C. (2010). Control of continuum
models of production systems. IEEE Transactions on Automatic Control, 55(11), 2511--2526.
[3] Coron, J. M., and Wang, Z. (2013). Output feedback stabilization for a scalar conservation
law with a nonlocal velocity. SIAM Journal on Mathematical Analysis, 45(5), 2646--2665.