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HANNA, G. MIŠKAŘÍK, K. DOBROVSKÝ, L. OŠMERA, P.
Original Title
AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.
Type
conference paper
Language
English
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.
Keywords
Genetic Algorithm, GA, IPM, PID, State-Space, Pole-Placement, ITAE.
Authors
HANNA, G.; MIŠKAŘÍK, K.; DOBROVSKÝ, L.; OŠMERA, P.
RIV year
2015
Released
23. 6. 2015
Location
Brno, Czech Republic
ISBN
978-3-319-19823-1
Book
Mendel 2015, 21st International Conference on Soft Computing.
1803-3814
Periodical
Mendel Journal series
Year of study
State
Czech Republic
Pages from
71
Pages to
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", journal="Mendel Journal series", volume="2015", pages="71--76", address="Brno, Czech Republic", isbn="978-3-319-19823-1", issn="1803-3814" }