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Constrained generalized predictive control for obstacle avoidance in a quadcopter

Published online by Cambridge University Press:  06 June 2018

José Luis Mendoza-Soto*
Affiliation:
División de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad Nacional Autónoma de México, Av. Universidad 3000, Ciudad Universitaria, Coyoacán, Ciudad de México 04510, México
Luis Alvarez-Icaza
Affiliation:
Instituto de Ingeniería, Universidad Nacional Autónoma de México, Av. Universidad 3000, Ciudad Universitaria, Coyoacán, Ciudad de México 04510, México. E-mail: alvar@pumas.iingen.unam.mx
H. Rodríguez-Cortés
Affiliation:
Sección de Mecatrónica, Departamento de Ingeniería Eléctrica, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Gustavo A. Madero, Ciudad de México 07360, México. E-mail: hrodriguez@cinvestav.mx
*
*Corresponding author. E-mail: eemsj03@yahoo.com.mx
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Summary

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This work proposes a strategy for position control and obstacle avoidance in a quadcopter based on constrained generalized predictive control and geometric attitude control. The approach allows real-time trajectory tracking using optimal control actions and avoids collisions with static obstacles whose position is known. An experimental validation of the proposed controller is presented.

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Type
Articles
Copyright
Copyright © Cambridge University Press 2018