Abstract
Fuzzy logic is used in many applications from industrial process control to automotive applications, including consumers trend forecast, aircraft maneuvering control and others. Considering the increased interest in using of multi-rotor aircrafts (usually called drones) for many kinds of applications, it is important to study new methods to improve multi-rotor maneuverability while controlling its stability in a proper way. Controlling the flight of multi-rotors, specially those equipped six rotors, is not a trivial task. When considering the design of such a control systems, traditional approaches such as PD/PID are very difficult to design, in spite of being easily implementable.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
See APM:Coter – Connect ESCs and Motors, http://copter.ardupilot.com/wiki/connect-escs-and-motors/
References
Ahmed OA, Latief M, Ali MA, Akmeliawati R (2015) Stabilization and control of autonomous hexacopter via visual-servoing and cascaded-proportional and derivative (PD) controllers. 2015 6th international conference on automation, robotics and applications (ICARA), pp 542–549. IEEE
Alaimo A, Artale V, Milazzo CLR, Ricciardello A (2014) PID controller applied to hexacopter flight. J Intell Robot Syst 73:261–270
Bacik J, Perdukova D, Fedor P (2015) Design of fuzzy controller for hexacopter position control. artificial intelligence perspectives and applications. Advances in intelligent systems and computing. Springer International Publishing, Berlin, pp 192–202
Bipin K, Duggal V, Madhava K (2015) Autonomous navigation of generic monocular quadcopter in natural environment. Autonomous navigation of generic monocular quadcopter in natural environment, pp 1063–1070. IEEE
Collotta M, Pau G, Caponetto R (2014) A real-time system based on a neural network model to control hexacopter trajectories. 2014 international symposium on power electronics, electrical drives, automation and motion (SPEEDAM)
Genetic algorithm applied to the stabilization control of a hexarotor (2015) Genetic algorithm applied to the stabilization control of a hexarotor. In: Proceedings of the international conference on numerical analysis and applied mathematics, vol 1648
Haque Md R, Muhammad M, Swarnaker D, Arifuzzaman M (2014) Autonomous Quadcopter for product home delivery. 2014 international conference on electrical engineering and information & communication technology (ICEEICT), pp 1–5. IEEE
Lee EA, Seshia SA (2015) Introduction to embedded systems – a cyber-physical systems approach, 2nd edn. Springer, New York www.leeSeshia.org, Chapters 1–3
Leishman R, Macdonald J, McLain T, Beard R (2012) Relative navigation and control of a hexacopter. Autonomous Quadcopter for product home delivery. 2012 IEEE international conference on robotics and automation (ICRA)
Ma sum MA, Jati G, Arrofi MK, Wibowo A, Mursanto P, Jatmiko W (2013) Autonomous quadcopter swarm robots for object localization and tracking. 2013 international symposium on micro-nanomechatronics and human science (MHS)
Ołdziej D, Gosiewski Z (2013) Modelling of Dynamic and control of six-rotor autonomous unmanned aerial vehicle. solid state phenomena. Trans Tech Publ, pp 220–225
Passino KM, Yurkvich S (1998) Fuzzy control, 1.2–conventional control system design. Addison-wesley, Boston Subsection 2.2
Rohmer E, Singh SPN, Freese M (2013) V-REP: A versatile and scalable robot simulation framework. 2013 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 1321–1326. IEEE
Salih AL, Moghavvemi M, Mohamed HAF, Gaeid KS (2010) Scientific Research and Essays. Flight PID controller design for a UAV quadrotor. Academic Journals, Denmark
Siegwart R, Nourbakhsh IR, Scaramuzza D (2011) Introduction to autonomous mobile robots. MIT press, Cambridge
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Koslosky, E., Wehrmeister, M.A., Fabro, J.A., de Oliveira, A.S. (2017). On Using Fuzzy Logic to Control a Simulated Hexacopter Carrying an Attached Pendulum. In: Nedjah, N., Lopes, H., Mourelle, L. (eds) Designing with Computational Intelligence. Studies in Computational Intelligence, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-319-44735-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-44735-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44734-6
Online ISBN: 978-3-319-44735-3
eBook Packages: EngineeringEngineering (R0)