Number: VEGA 1/0095/11
Principal investigator: M. Kvasnica
Period: 2011-2014
Keywords: model predictive control, real-time control
Project summary
The project is aimed at conducting research in the area of real-time implementation of Model Predictive Control (MPC) using hardware control platforms with limited computational power and constrained memory storage. Such constraints are typical for a broad class of industrial control systems, including, but not limited to, digital signal processors of programmable logic controllers. Therefore the main focus of the project is to develop novel theoretical approaches aimed at reducing the computational demands of MPC implementation in real time and to provide unique software tools for design, analysis, verification and implementation of predictive controllers. The main goal is to achieve faster and cheaper implementation of MPC on industrial control systems. Results of the projects will be verified on a large number of real-life control systems and published in international journals.
Scientific goals
The project is aimed at research in the area of implementation of Model Predictive Control using industrial control systems, which, typically, have limited computational power and low memory storage. A successful solution to such a complex problem involves answering the following main questions:
It is up to the particulars goals of the project to answer each and every of these questions. The individual problems will be solved in such a way that the results are applicable to a large variety of systems and control platforms. In particular, the project will focus on developing novel MPC algorithms for the class of linear, hybrid, fuzzy and nonlinear predictions models. Subsequently, the control algorithms will be experimentally verified on a broad class of control systems including PLCs, DSPs and FPGAs. All theoretical results obtained in the course of the project will be disseminated in a form of freely available software packages.