PID controller design for unmanned aerial vehicle using genetic algorithm
- 1 June 2014
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)
Abstract
Control of unmanned aerial vehicles (UAVs) is challenging due to inherent nonlinearities and its coupled dynamics. In this paper, an improved proportional-integral-derivative (PID) controller is proposed for UAV motion control with 6 degrees of freedom (DOF). A genetic algorithm is employed to find suboptimal coefficients of PID controller to optimize performance of the closed-loop control system. Simulation results are presented to verify the effectiveness of the proposed control system and also to compare with previous works.Keywords
This publication has 7 references indexed in Scilit:
- Fault Tolerant Control design for polytopic uncertain LPV systems: Application to a quadrotorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Design and Development of an Y4 Copter Control SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- On new UAV flight control system based on Kalman & PIDPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopterInternational Journal of Control, Automation and Systems, 2009
- Control of an experimental mini quad-rotor UAVPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- IntroductionPublished by Springer Science and Business Media LLC ,2008
- PID vs LQ control techniques applied to an indoor micro quadrotorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004