C Conferentia Proceedings
CBA2018-0901 Teoria de Controle e Aplicações

CENTRALIZED MULTIVARIABLE LQG CONTROL SYSTEM FOR LONGITUDINAL AND LATERAL SPEED HOLD AUTOPILOT FOR THE AR.DRONE 2.0 QUADCOPTER

Antonio da Silva Silveira1; Anderson de França Silva1; José Augusto Furtado Real1; Orlando Fonseca Silva1

1 Universidade Federal do Pará

Baixar PDF doi:10.20906/CPS/CBA2018-0901

Resumo

In this work it is presented the design procedures and experimental results of a centralized multivariable LQG control system for longitudinal and lateral speed hold autopilot for the AR.Drone 2.0 quadcopter. The main contribution is that instead of assuming that the longitudinal and lateral dynamics are completely decoupled, the quadcopter is modeled as a coupled multivariable state-space system with transport time-delay. The system identification procedure, by extended recursive least-squares estimation, is done directly in the state-space form and a detailed description of the equations derived for this project is given. The LQG design is aided by analysis on the system's step-response tests in the time domain. The proposed speed hold autopilot is evaluated using the system's model and then applied to the real process. The experimental platform used was a free add-on toolbox for Matlab/Simulink, also used as a benchmark control system with a ready-to-fly example of decentralized proportional control system for the AR.Drone 2.0. Results summarized in a table of integral performance indexes and a discussion over the formalism of the LQG method and its applications to flight control systems concludes the contributions of this work.

Palavras-chave: Speed hold autopilot; Linear Quadratic Gaussian; Linear Quadratic Regulator; Kalman Filter; AR.Drone 2.0

Como citar

Antonio da Silva Silveira; Anderson de França Silva; José Augusto Furtado Real; Orlando Fonseca Silva. “CENTRALIZED MULTIVARIABLE LQG CONTROL SYSTEM FOR LONGITUDINAL AND LATERAL SPEED HOLD AUTOPILOT FOR THE AR.DRONE 2.0 QUADCOPTER”. XXII Congresso Brasileiro de Automática. CBA2018. 2018. DOI: 10.20906/CPS/CBA2018-0901