- Autor(i):
- M. Herceg
- Názov:
- Real-Time Explicit Model Predictive Control of Processes
- Škola:
- ÚIAM FCHPT STU v Bratislave
- Rok:
- 2009
- Kľúčové slovo(á):
- explictné prediktívne riadenie, multiparametrické programovanie, hybridné systémy
- Adresa:
- Radlinského 9, 812 37 Bratislava
- Dátum:
- 10.12.2009
- Jazyk:
- angličtina
- Anotácia:
The aim of the thesis is to provide techniques for computing and application of explicit

model predictive control of processes in real-time. Explicit model predictive control is a

method for optimal control of processes with constraints where the control law is given

in an explicit form. It is an optimization based approach where a process model is used

to predict the future. In the presented approach the model is derived using a hybrid

modeling framework. It will be shown how that hybrid models are capable of modeling

wide class of processes with a sufficient precision. Based on the hybrid model, it is possible

to formulate an optimal control problem which considers varying dynamical properties

of the plant and moreover, takes the operating constraints into account. If the optimal

control problem is solved for the whole set of initial conditions, an explicit solution is

obtained. The explicit solution characterizes the optimal control law as a function of given

initial conditions. This allows the control law to be easily realized in practice, just by

evaluating the function for given value of initial conditions. Therefore, the explicit model

predictive controller designed in this way is especially suitable for applications with fast

dynamical changes which require low implementation cost. The thesis describes essentials

for understanding ingredients of explicit model predictive control. In particular, the main

part concerns with construction of hybrid models and their deployment in formulation of

optimization problems. Consequently, efficient algorithms for computing explicit solutions

to time optimal control problems are proposed. Obtained results are applied in real-time

experiments that show desired optimal performance and the controller satisfies all operating

constraints.- Školiteľ:
- prof. Ing. Miroslav Fikar, DrSc.
- Konzultant:
- prof. Ing. Michal Kvasnica, PhD.
- Kategória publikácie:
- DAI – Dizertačné a habilitačné práce
- Oddelenie:
- OIaRP
- Vložil/Upravil:
- Ing. Martin Herceg, PhD.
- Posledná úprava:
- 16.12.2009 10:33:59
- Plný text:
- 886.pdf (1.93 MB)
- BibTeX:
- @phdthesis{uiam886,
author = {M. Herceg}, title = {Real-Time Explicit Model Predictive Control of Processes}, school = {\'UIAM FCHPT STU v Bratislave}, year = {2009}, keyword = {explictn\'e predikt\'ivne riadenie, multiparametrick\'e programovanie, hybridn\'e syst\'emy}, address = {Radlinsk\'eho 9, 812 37 Bratislava}, month = {10.12.2009}, annote = {The aim of the thesis is to provide techniques for computing and application of explicit

model predictive control of processes in real-time. Explicit model predictive control is a

method for optimal control of processes with constraints where the control law is given

in an explicit form. It is an optimization based approach where a process model is used

to predict the future. In the presented approach the model is derived using a hybrid

modeling framework. It will be shown how that hybrid models are capable of modeling

wide class of processes with a sufficient precision. Based on the hybrid model, it is possible

to formulate an optimal control problem which considers varying dynamical properties

of the plant and moreover, takes the operating constraints into account. If the optimal

control problem is solved for the whole set of initial conditions, an explicit solution is

obtained. The explicit solution characterizes the optimal control law as a function of given

initial conditions. This allows the control law to be easily realized in practice, just by

evaluating the function for given value of initial conditions. Therefore, the explicit model

predictive controller designed in this way is especially suitable for applications with fast

dynamical changes which require low implementation cost. The thesis describes essentials

for understanding ingredients of explicit model predictive control. In particular, the main

part concerns with construction of hybrid models and their deployment in formulation of

optimization problems. Consequently, efficient algorithms for computing explicit solutions

to time optimal control problems are proposed. Obtained results are applied in real-time

experiments that show desired optimal performance and the controller satisfies all operating

constraints.},supervisor = {prof. Ing. Miroslav Fikar, DrSc.}, consultant = {prof. Ing. Michal Kvasnica, PhD.}, url = {https://www.uiam.sk/assets/publication_info.php?id_pub=886}