A genetic approach for real-time identification and control of a helicopter SYSTEM

K. C. Tan; C. Y. Cheong; Y. Peng

A genetic approach for real-time identification and control of a helicopter SYSTEM

K. C. Tan, C. Y. Cheong, Y. Peng

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

This paper presents a genetic approach for real-time identification and control of a helicopter plant. The proposed approach employs a dual-stage strategy to keep track of the dynamic system as well as to optimize the corresponding control parameters in the real-time control system. In order to evaluate the true potential of the online GA control, experiments are conducted on a 2-degree-of-freedom helicopter plant and the overall control system is implemented on the dSPACE DS1103 DSP controller board. Through different experiment setups, the robustness and effectiveness of the proposed evolutionary technique for online identification and control are validated.

Original language	English
Pages (from-to)	11-18
Number of pages	8
Journal	International Journal of Computational Intelligence in Control
Volume	11
Issue number	1
Publication status	Published - 2019
Externally published	Yes

Keywords

Genetic algorithm
Parameter optimization
Real-time control
System identification

ASJC Scopus subject areas

Biotechnology
Computational Mechanics
Computer Science Applications
Information Systems and Management
Artificial Intelligence

Cite this

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abstract = "This paper presents a genetic approach for real-time identification and control of a helicopter plant. The proposed approach employs a dual-stage strategy to keep track of the dynamic system as well as to optimize the corresponding control parameters in the real-time control system. In order to evaluate the true potential of the online GA control, experiments are conducted on a 2-degree-of-freedom helicopter plant and the overall control system is implemented on the dSPACE DS1103 DSP controller board. Through different experiment setups, the robustness and effectiveness of the proposed evolutionary technique for online identification and control are validated.",

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AU - Cheong, C. Y.

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AB - This paper presents a genetic approach for real-time identification and control of a helicopter plant. The proposed approach employs a dual-stage strategy to keep track of the dynamic system as well as to optimize the corresponding control parameters in the real-time control system. In order to evaluate the true potential of the online GA control, experiments are conducted on a 2-degree-of-freedom helicopter plant and the overall control system is implemented on the dSPACE DS1103 DSP controller board. Through different experiment setups, the robustness and effectiveness of the proposed evolutionary technique for online identification and control are validated.

KW - Genetic algorithm

KW - Parameter optimization

KW - Real-time control

KW - System identification

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A genetic approach for real-time identification and control of a helicopter SYSTEM

Abstract

Keywords

ASJC Scopus subject areas

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