Publication detail
AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.
HANNA, G. MIŠKAŘÍK, K. DOBROVSKÝ, L. OŠMERA, P.
Czech title
AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.
English title
AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.
Type
conference paper
Language
en
Original abstract
This paper presents the implementation of PID and State-Space controllers tuning, using a Two-Level optimization technique. The Genetic Algorithm (GA) as a global heuristic optimization technique has been used together with the Interior Point Method (IPM), as a local search method to reach the optimal solution. The optimal parameters are applied for a high order system. The performance of the proposed technique is evaluated by setting its objective function with Integral of the error criteria. The proposed optimization-based technique is also compared with Ziegler-Nichols (ZN) in case of PID controller, and Pole Placement (PP) in case of State-Space controller.
Czech abstract
This paper presents the implementation of PID and State-Space controllers tuning, using a Two-Level optimization technique. The Genetic Algorithm (GA) as a global heuristic optimization technique has been used together with the Interior Point Method (IPM), as a local search method to reach the optimal solution. The optimal parameters are applied for a high order system. The performance of the proposed technique is evaluated by setting its objective function with Integral of the error criteria. The proposed optimization-based technique is also compared with Ziegler-Nichols (ZN) in case of PID controller, and Pole Placement (PP) in case of State-Space controller.
English abstract
This paper presents the implementation of PID and State-Space controllers tuning, using a Two-Level optimization technique. The Genetic Algorithm (GA) as a global heuristic optimization technique has been used together with the Interior Point Method (IPM), as a local search method to reach the optimal solution. The optimal parameters are applied for a high order system. The performance of the proposed technique is evaluated by setting its objective function with Integral of the error criteria. The proposed optimization-based technique is also compared with Ziegler-Nichols (ZN) in case of PID controller, and Pole Placement (PP) in case of State-Space controller.
Keywords in English
Genetic Algorithm, GA, IPM, PID, State-Space, Pole-Placement, ITAE.
RIV year
2015
Released
23.06.2015
Location
Brno, Czech Republic
ISBN
978-3-319-19823-1
ISSN
1803-3814
Book
Mendel 2015, 21st International Conference on Soft Computing.
Volume
2015
Pages from–to
71–76
Pages count
6
BIBTEX
@inproceedings{BUT115273,
author="George {Hanna} and Kamil {Miškařík} and Ladislav {Dobrovský} and Pavel {Ošmera},
title="AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.",
booktitle="Mendel 2015, 21st International Conference on Soft Computing.",
year="2015",
volume="2015",
month="June",
pages="71--76",
address="Brno, Czech Republic",
isbn="978-3-319-19823-1",
issn="1803-3814"
}