Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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.",
  annote="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.",
  booktitle="Mendel 2015, 21st International Conference on Soft Computing.",
  chapter="115273",
  howpublished="print",
  year="2015",
  month="june",
  pages="71--76",
  type="conference paper"
}