Fuzzy-PD Controller for behavior mixing and improved performance in quadcopter attitude control systems

Juan Augusto Paredes, Cristhian Jacinto, Renzo Ramírez, Ismael Vargas, Luis Trujillano

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


The PID controllers featured in several commercial and industrial quadcopters present a simple framework which trivializes the control configuration process for these systems. However, since PID gains remain unchanged throughout the entire flight operation, only a single flight configuration is available for the quadcopter to move around. In order to give more flexibility to this control system, a Fuzzy-PD Controller structure based on the Sugeno fuzzy inference method is proposed. The suggested controller will be used to combine the behaviors of several PD controller configurations to control the states of a given quadcopter system and improve their individual performance.
Idioma originalEspañol
Título de la publicación alojada2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings
EstadoPublicada - 23 mar. 2017

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