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 |
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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 | |
Publication status | Published - 2015 Jul |
Bibliographical note
Publisher Copyright:© 2015 The Korean Society of Mechanical Engineers.
All Science Journal Classification (ASJC) codes
- Mechanical Engineering