Model Predictive Control (MPC) is a tool to control a system with
multiple inputs and outputs. Nowadays, many researchers, managers and engineers
are applying this tool in different fields such as financial management,
strategic management and also many engineering fields.
Here I found two good links on Internet which give us some
interesting examples and simulation
models useful for piping engineers as follows:
Model
Predictive Control: Title
Bradley Anderson, Aaron Bennick, Michael Salciccioli: Authors
sSarah Hebert, Valerie Lee, Matthew Morabito,
Jamie Polan
Date Presented: 11/7/06; Revised: 10/30/07
Implementing MPC using Excel
In MPC, values of the control variables will be optimized for a
given time interval in order to best tell the system how it should act. The
control variables will be optimized by optimizing some characteristic. Usually,
this characteristic is simply the least squared error between an actual state
and a "set" or desired state. This can easily be done using the
Solver tool in Excel.
You can find a good example of MPC and download excel spreadsheet
for more practice on the above link.
Simulation of a Model Predictive Controller
You can also find an example on below link which gives us an
application to simulate a Model Predictive Controller (MPC) for a single input,
single output (SISO) first order with time delay process. You can download
excel spread sheet for more practice.
Of course, always the assumptions and arrangement of components
model have very important role to reach good predictions and valid results.
