Reference
A. Jamshidnejad, G. Gomes,
A. M. Bayen,
and B. De Schutter, "Integrated offline and online predictive control system
within a base-parallel architecture," Tech. report 18-025, Delft Center for
Systems and Control, Delft University of Technology, Delft, The Netherlands,
2018. Submitted for publication. See also
https://arxiv.org/abs/1907.05464v1.
Abstract
Optimization-based controllers minimize a specific performance index within a
finite or infinite prediction window, and find the corresponding optimal
control input. An estimator helps the controller to determine the future states
of the controlled system and the external inputs such as disturbances, etc.
Online application of optimization-based controllers is still a challenge,
especially since the time required for investigating the search space by the
optimization solver usually exceeds the requirements of a real-time procedure.
In this paper, we propose a novel integrated control architecture that benefits
from the advantages of both offline and online controllers within a predictive
base-parallel structure. The base block includes efficient parameterized
controllers, which have been optimized offline w.r.t. their parameters within
an update window, which is larger than the prediction window, and direct
controllers, which have been trained offline to produce a sequence of control
inputs within the prediction window. These controllers provide good starting
points for the optimization-based controllers that are run in parallel in real
time. We discuss different options for designing the proposed base-parallel
control architecture. Finally, we implement the proposed architecture for a
highway that is controlled by ramp metering, and compare our results with the
results of previous efficient controllers, such as ALINEA and an artificial
neural network-based controller that has been trained by deep learning.
BibTeX
@techreport{JamGom:18-025,
author = {Jamshidnejad, Anahita and Gomes, Gabriel and Bayen, Alexandre
M. and De Schutter, Bart},
title = {Integrated Offline and Online Predictive Control System
within a Base-Parallel Architecture},
number = {18-025},
institution = {Delft Center for Systems and Control, Delft University of
Technology},
address = {Delft, The Netherlands},
year = {2018},
note = {Submitted for publication. See also
\url{https://arxiv.org/abs/1907.05464v1}}
}