Investigation & Simulation of an Intelligent Lateral Flight Controller for a Blimp System

Abstract:

This research work elaborates the investigation of lateral flight control system as point of unmanned aerial vehicle control.To evaluate our work, we have used rigid flying object model that is 10 meters in lengthand studythe effects of number of forces were consideredsuch as inertia, fin force and wind to design the heading controller,Fuzzy logic controller more specifically Proportional Integral Derivative (PID) controller is used,wherepros and cons of fuzzy logic controller is considered. To justify our proposed work, simulation is been implemented to model controller designs and dynamics of the airship.Furthermore comparative study have been done between the outcome of the system to be design and the latest research literature. Experimentalresultsillustrate that our method is efficient, is more reliable and effective.

• Periodical: Advanced Materials Research (Volume 628)
• Pages: 420-426
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.628.420
• Online since: December 2012
• Authors: Sayedmehran Mirsafaie Rizi, Ali Khalili Mobarakeh, Mina Mirsafaie, Saba Nazari, Mohd Rizal Bin Arshad
• Keywords: Fuzzy Logic, Lateral Flight, PID Controller, Simulink

References

[1] Lieutenant colonel Ryan DE, J., Eye in the sky: airship surveillance, The airship's potential for intertheater and intratheater airlift., in School of Advanced Airpower Studies1992, Air University, Maxwell Air Force Base: Alabama.

[2] Falahpour, M., et al. Performance comparison of classic and fuzzy logic controllers for communication airships. in Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th. (2009).

DOI: 10.1109/dasc.2009.5347499

[3] Ramos, J.J.G., de Paiva, E.C., Lateral/directional control for an autonomous unmanned airship. Aircraft Engineering and Aerospace Technology, 2001. 73: pp.453-458.

DOI: 10.1108/eum0000000005880

[4] Azinheira, J.R., de paivab, E.C., Ramosb, J.J.G. hovering control of an autonomous unmanned airship. in Controlo '2000. 2000. 4th Portuguese Conference on Automatic Control.

[5] Solaque, L., Z. Pinzon, and M. Duque. Nonlinear Control of the Airship Cruise Flight Phase with Dynamical Decoupling. in Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08. (2008).

DOI: 10.1109/cerma.2008.53

[6] Kawai, Y., et al. An unmanned planar blimp on visual feedback control: experimental results. in SICE 2003 Annual Conference. (2003).

[7] Gomes, S.B.V. and J.G. Ramos, Jr. Airship dynamic modeling for autonomous operation. in Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on. (1998).

DOI: 10.1109/robot.1998.680973

[8] Guo, J. -g. and J. Zhou. Lateral Path Controller Design for Autonomous Airship. in Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on. (2010).

DOI: 10.1109/ihmsc.2010.75

[9] Azian Hariri, D.S., Ignatius Agung Wibowo, Response analysis of UTHM's airship, in International conference on mechanical & manufacturing engineering2008: Johor bahru, malaysia.

[10] Sugeno, M. and G.T. Kang, Structure identification of fuzzy model. Fuzzy Sets and Systems, 1988. 28(1): pp.15-33.

DOI: 10.1016/0165-0114(88)90113-3