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

Jaehyun Yoon, Jongsoo Lee

Research output: Contribution to journalArticle

6 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 languageEnglish
Pages (from-to)673-679
Number of pages7
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume39
Issue number7
DOIs
Publication statusPublished - 2015 Jul 1

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Multiobjective optimization
Derivatives
Motion control
Sorting
Computational fluid dynamics
Rotors
Genetic algorithms

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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