Approximate multi-objective optimization of a quadcopter through proportional-integral-derivative control

Jaehyun Yoon; Jongsoo Lee

doi:10.3795/KSME-A.2015.39.7.673

Approximate multi-objective optimization of a quadcopter through proportional-integral-derivative control

Jaehyun Yoon, Jongsoo Lee

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

In this study, the nondominated sorting genetic algorithm (NSGA-II) is used to obtain the optimized proportional-integral-derivative (PID) gain value that can quickly recover the motion of a quadcopter after a disturbance. Prior to PID control, the four-rotor quadcopter interval was defined using computational fluid dynamics (CFD). Through the definition of this model, the PID control algorithm was generated. To construct a response surface model, D-optimal programming was used for the generation of experimental points. For this purpose, a gain value that satisfies both the roll and altitude PID gain values is obtained. Using the NSGA-II, the gain value of shorten time of the quadcopter motion control can be optimized.

Original language	English
Pages (from-to)	673-679
Number of pages	7
Journal	Transactions of the Korean Society of Mechanical Engineers, A
Volume	39
Issue number	7
DOIs	https://doi.org/10.3795/KSME-A.2015.39.7.673
Publication status	Published - 2015 Jul

Bibliographical note

Publisher Copyright:
© 2015 The Korean Society of Mechanical Engineers.

All Science Journal Classification (ASJC) codes

Mechanical Engineering

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Approximate multi-objective optimization of a quadcopter through proportional-integral-derivative control

Abstract

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