Improved Leader Follower Formation controller for multiple Quadrotors based AFSA

Rabah Abbas, Qinghe Wu

Abstract


In this paper, formation tracking in  plane with equal height for all quadrotors is discussed. Two controllers are necessary. First, PID controller is used to ensure the tracking of the desired trajectory by the first quadrotor named leader. The formation of the quadrotors in  plane is achieved by using the directed lyapunov controller. In order to improve the controller performances, the artificial fish swarm algorithm is used to ensure the dynamic optimization of the parameter controllers. When the desired shape formation is achieved, PID controller is used again to ensure the keeping of this formation shape. Finally, simulation results demonstrate the effectiveness of the proposed controllers compared to the ordinary controller and also compared to the static optimization by using the same algorithm.

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References


A. Tayebi, S. McGilvray, Attitude stabilization of a vtol quadrotor aircraft, IEEE Transactions on Control Systems Technology. 2006; 14(3): 562-571

T Madani, A Benallegue Control of a quadrotor mini-helicopter via full state backstepping technique 45th IEEE Conference on Decision and Control. San Diego, CA. 2006:1515-1520

L. Derafa, A. Benallegue and L. Fridman, “Super twisting control algorithm for the attitude tracking of a four rotors UAV”, Journal of the Franklin Institute.2012; 349(2):685-699.

K. Hicham: Robust Control Algorithm Considering the Actuator Faults for Attitude Tracking of an UAV Quadrotor Aircraft. International Journal of Control and Automation. 2012; 5(4):55-66

Jose Alfredo Guerrero • Pedro Castillo Sergio Salazar • Rogelio Lozano Mini Rotorcraft Flight Formation Control Using Bounded Inputs J Intell Robot Syst 2012; 65(1-4):175–186

VenanzioCichella, Isaac Kaminer, EnricXargay, Vladimir Dobrokhodov, Naira Hovakimyan,A.Pedro Aguiar, and Ant´onio M. PascoalALyapunov-based approach for Time-Coordinated 3D Path-Following of Multiple Quadrotors. 51st IEEE Conference on Decision and Control. USA. 2012:1776-1781.

Lon Davidi, Nadav Berman, Shai Arogeti: Formation Flight using Multiple Integral Backstepping Controllers. IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS). China. 2011:317-322.

Taeyoung Lee, Koushil Sreenath, and Vijay Kumar: Geometric Control of Cooperating Multiple quadrotor UAVs with a Suspended Payload 52nd IEEE Conference on Decision and Control. Italy. 2013:5510-5515

Mohammad Fadhil BinAbas, Dwi Pebrianti, Syaril Azrad Md. Ali,

Daisu keIwakura, Yuze Song, Kenzo Nonami,

and Daigo Fujiwara: Circular Leader-Follower Formation Control of Quad-Rotor Aerial Vehicles.Japan. Autonomous Control Systems and Vehicles Intelligent Systems, Control and Automation: Science and Engineering 2013.65: 109-132

Norman H. M. Li and Hugh H. T. Liu Formation UAV Flight Control using Virtual Structure and Motion Synchronization. American Control Conference, USA;2008:1782-1787

D.A. Mercado R. Castro and R. Lozano: Quadrotors flight formation control using leader-follower approach. European control conference. Zurich 2013: 3858-3863.

LI Xiao lei, SHAO Zhi-jiang and QIAN Ji-xin, An optimizing method based on autonomous animals: fish swarm algorithm, Systems Engineering Theory and Practice. 2002; 22(11) :32-38

F. Yacef, O. Bouhali, M. Hamerlain, and A. Rezoug: PSO Optimization of Integral Backstepping Controller for Quadrotor Attitude stabilization. Proceedings of the 3rd International Conference on Systems and Control, Algeria, 2013:462-466

Karim Benbouabdallah and Zhu Qi-dan Genetic Fuzzy Logic Control Technique for a Mobile Robot Tracking a Moving Target IJCSI International Journal of Computer Science Issues.2013; 10(1): 607-613

Wael M. Korani, Hassen Taher Dorrah and Hassan M. Emara: Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. 8th IEEE international conference on Computational intelligence in robotics and automation. USA. 2009: 445-450

Daewon Lee, H. Jin Kim, and Shankar Sastry: Feedback Linearization vs Adaptive Sliding Mode Control for a quadrotor Helicopter. International Journal of Control, Automation and Systems. 2009; 7(3):419-428

Mingu Kim, Youdan Kim, and Jaiung Jun: Adaptive Sliding Mode Control using Slack Variables for Affine underactuated Systems. 51st IEEE Conference on Decision and Control. USA. 2012:6090-6095.




DOI: http://doi.org/10.12928/telkomnika.v13i1.994

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