Guidance Methodologies of Unmanned Aerial Vehicle Using Virtual Instrumentation Technique
DOI:
https://doi.org/10.20894/IJMSR.117.009.001.024Keywords:
UAV, aileron angle, bank angle, visual programmingAbstract
The unmanned aerial vehicle guidance is very significant nowadays. Guidance of unmanned aerial vehicle generates commands to and controls the attitude to follow the reference trajectory. This paper presents a new guidance of unmanned aerial vehicle using virtual instrumentation technique. LabView is a system design platform and development environment for a visual programming language from national instruments and provides a virtual environment to guide the UAV in terms of bank angle and aileron angle. Aileron angle control the UAV roll degree of freedom and bank angle. In this method the guidance is considered under the atmospheric disturbance especially wind and. Aileron angle is used to direct the UAV against the wind. The gain of the system can also be controlled. Manual and automatic control of this vehicle is alsopossible.
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References
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[3] Derek R. Nelson, D. Blake Barber, Timothy W. McLain,’Vector Field Path Following for Miniature Air Vehicles‟,vol 23,no 3,pp.1-6,june 2007.
[4] Dong soocho H Jin Kim,Min- JeaTahk,‟ Fast Adaptive Guidance Against HighlyManeuvering Targets”,vol 52,no 2,IEEE Trans.Aerospace and electronicsystem,pp1536-1555,april 2016.
[5] FengTyan,‟ Analysis of 3D PPN Guidance Laws for Non maneuvering Target‟, vol 51, no4,IEEE Trans. Aeospace and electronic syatem,pp 1276-1286,octo 2015.
[6] HojjatA.Izadi,BrandonW.Gordon, Youmin Zhang,‟ Hierarchical Decentralized RecedingHorizon Control of Multiple Vehicles with Communication Failures‟, IEEE Trans ,Aerospaceand electronic system ,vol. 49, no. 2,pp 744-759, April 2013.
[7] Hongda Chen, KuochuChang,„UAV Path Planning with Tangent-plus-Lyapunov VectorField Guidance and Obstacle Avoidance‟Vol 49,No 2,pp.840-856,April 2013.
[8] James R.Riehl, Gaemus E. Collins, Joa O P Hespanha,‟Cooperative Search by UAVTeams:AModel Predictive Approach using Dynamic Graphs‟ vol. 47, no. 4 ,IEEE Trans.Aerospace,pp.2637-2657,Oct.2011.
[9] Kaminer, I., Pascoal, A., Hallberg, E., and Silvestre, C.Trajectory tracking forautonomous vehicles:: An integrated approach to guidance and control. Journal of Guidance, Control, and Dynamics, 21, pp.28-36,1998.
[10] Kim, S., Oh, H., and Tsourdos, A Nonlinear model predictive coordinated standofftrackingof a moving ground vehicle, Journal of Guidance, Control, and Dynamics, 36, 2,pp.556-566,2013.
[11] Nelson, D., Barber, D., McLain, T., and Beard, R.Vector field path following for miniature air vehicles. IEEE Trans. Robotics, 23, 3,pp.519-529,2007.
[12] Park, S., Deyst, J., and How, J.Performance and Lyapunov stability of a nonlinear path-following guidance method,Journalof Guidance, Control, and Dynamics,pp.1718- 1728,2007.
[13] PengKemao, Dong Miaobo, Chen Ben M., Cai Guowei2, Lum Kai Yew, Lee Tong H, Design and Implementation of a Fully Autonomous Flight Control System for a UAV Helicopter‟. Proceedings of the 26th Chinese Control Conference July 26-31, 2007.
[14] Tomonari Furukawa, Frederic Bourgault, Benjamin Lavis and Hugh F. DurrantWhyte,‟Recursive Bayesian Search-and-Tracking Using Coordinated UAVs for Lost Targets‟. IEEE International Conference,May 2016.
[15] Valenzuela, A., Rivas, D., Gavil´an, F., and V´azquez, R.Optimal trajectory generation for UAVs using dynamic trajectory modeling. In Proceedings of the Research,Development and Education on Unmanned Aerial Systems Workshop (RED- UAS), Seville, Spain,29–40,2011.
[16] Yamasaki, T., Sakaida, H., Enomoto, K., Takano, H., and Baba, Y. Robust trajectory- tracking method for UAV guidance using proportional navigation. In Proceedings of the International Conference on Control, Automation and Systems 2007, Seoul, Korea, 2007.
[17] Yeonsik Kang and J. Karl Hedrick „Linear Tracking for a Fixed-Wing UAV Using Nonlinear Model Predictive control „ vol 17, no. 5, pp ,Sept.2009 .
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2017-03-27
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