Publication detail

AN EFFICIENT TWO-LEVEL OPTIMIZATION METHOD FOR OPTIMAL TUNING OF CONTROLLERS.

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.

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2015

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"
}