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Optimal Trajectory Generation of UAV Considering Attitude Constraints

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

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Abstract

The six degrees of freedom (6-DOF) trajectory planning of quadrotors with attitude constraints is studied. Based on active disturbance rejection control (ADRC) technology, a controller for quadrotors that can track both position and attitude is designed. Firstly, the nonlinear dynamic model of quadrotors is established. Next, the optimal trajectory with attitude constraints is solved under different performance indexes. Finally, based on ADRC method, a 6-DOF tracking control algorithm for quadrotors is designed. The control effect is simulated and compared with the traditional linear control method. The results indicate that ADRC method has superior control accuracy and stability for quadrotors with large attitude maneuvers.

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References

  1. Daniel, M., Vijay, K.: Minimum snap trajectory generation and control for quadrotors. IEEE International Conference on Robotics and Automation (2011)

    Google Scholar 

  2. Almeida, M., Akella, M.: New numerically stable solutions for minimum-snap quadcopter Aggressive Maneuvers. American Control Conference (2017)

    Google Scholar 

  3. Liu. S., Mohta. K.: Search-based motion planning for aggressive flight. SE(3) (2017)

    Google Scholar 

  4. Yatong. An.: A numerical optimization method for three dimensional trajectory planning of four rotor aircraft. Proceedings of the 32nd China Control Conference, Volume B, (2013). (in Chinese)

    Google Scholar 

  5. Ibrahim, I.N., Al Akkad, M.: Exploiting an intelligent fuzzy-PID system in nonlinear aircraft pitch control. International Siberian Conference on Control and Communications (SIBCON). pp. 1–7. Moscow, Russia (2016)

    Google Scholar 

  6. Yang, S., Xian, B.: Trajectory tracking control design for the system of a quadrotor UAV with a suspended payload. Proceedings of the 36th Chinese Control Conference (CCC), pp. 777–782. Dalian, China (2017)

    Google Scholar 

  7. Madani, T., Benallegue: A backstepping control for a quadrotor helicopter. Proceedings of the 2006 IEEE/RSJ International Conference on International Conference on Intelligent Robots and Systems. pp. 3255–3260. Beijing, China (2006)

    Google Scholar 

  8. Mirzaei, M., Eghtesad, M., Alishahi, M.M.: A new robust fuzzy method for unmanned flying vehicle control. Journal of Central South University 22(6), 2166–2182 (2015)

    Article  Google Scholar 

  9. Tian, G., Gao, Z.Q.: Benchmark tests of active disturbance rejection control on an industrial motion control platform. IEEE American Control Conference, pp. 5552–5557. St. Louis (2009)

    Google Scholar 

  10. Zheng, Q., Gao, Z.Q.: An energy saving factory-validated disturbance decoupling control design for extrusion process. IEEE Control and Automation. pp. 2891–2896. Beijing, China (2012)

    Google Scholar 

  11. Achieve improved motion and efficiency for advanced motor control designs in minutes with TI’s new InstaSPIN(TM)-MOTION technology, The Wall Street Journal, April 18, 2013 at http://online.wsj.com/article/PR-CO-20130418-907338.html?mod=googlenews

  12. Yisha, L.: Auto disturbance rejection control method for quadrotor aircraft. Control Theory Appl. 32(10), (2015). (in Chinese)

    Google Scholar 

  13. Leishman, J.G.: Principles of Helicopter Aerodynamics. Cambridge University Press, New York (2006)

    Google Scholar 

  14. Michael, N., Mellinger, D., Lindsey, Q.: The grasp multiple micro-uavtestbed. IEEE Robot. Autom. Mag. 17(3), 56–65 (2010)

    Article  Google Scholar 

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Correspondence to Xiaofei Dong .

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Liu, C., Zhou, H., Dong, X., Wang, D. (2022). Optimal Trajectory Generation of UAV Considering Attitude Constraints. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_167

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