Flight Simulation of a Hybrid Electric Propulsion VTOL UAV for Mission Performance Assessment

Abstract:

Hybrid Electric Propulsion Systems (HEPS) have grown to be a promising topic of research for Unmanned Aerial Vehicles (UAVs) applications as they combine the complimentary benefits of internal combustion engine and electric propulsion systems while reducing pollutant emissions. Controlling UAVs in any flight condition is essential for its successful application in practical missions. In general, hybrid-electric UAVs exhibit three flight modes: vertical flight mode, fixed-wing mode and transition mode. The transition control design from vertical and hover flights to fixed-wing flight mode or vice versa still remains a challenge due to the multiple nonlinearities in the model and the optimal design results have a strong effect on mission performance. In the present study, a numerical model was developed to enhance the flight performance and the transition control of a hybrid electric multi-rotor UAV during a specific flight mission. This model is based on the control of forward thrust, lift thrust, and pitch angle to achieve the speed, altitude, and position defined in the mission profile of the flight simulation. The simulation results show that, of the two applied control strategies, the one that separates the segment into one below stall speed and another above stall speed provides better performance and faster response during transition from vertical flight mode (VTOL) to horizontal fight mode (fixed-wing) and vice versa, where significant changes in speed and pitching angle occur.

• Periodical: Advances in Science and Technology (Volume 144)
• Pages: 81-91
• DOI: https://doi.org/10.4028/p-b4hazW
• Online since: March 2024
• Authors: Amine Benmoussa*, Pedro Vieira Gamboa
• Keywords: Hybrid-Electric Propulsion, Mission Profile, Transition Control, Unmanned Aerial Vehicle

References

[1] H.T. Nguyen, T.V. Quyen, C.V. Nguyen, A.M. Le, H.T. Tran, M.T. Nguyen. Control algorithms for UAVs: A comprehensive survey. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 7(23) (2020) e5-e5.

DOI: 10.4108/eai.18-5-2020.164586

[2] A. Benmoussa and J.C. Páscoa. Performance improvement and start-up characteristics of a cyclorotor using multiple plasma actuators. Meccanica 56 (2021) 2707–2730.

DOI: 10.1007/s11012-021-01413-4

[3] J. Zong, B. Zhu, Z. Hou, X. Yang, J. Zhai. Sizing and Mission Profile Analysis of the Hybrid-Electric Propulsion System for Retrofitting a Fixed Wing VTOL Aircraft. International Journal of Aerospace Engineering 2022 (2022).

DOI: 10.1155/2022/9384931

[4] A. Benmoussa, L. Rahmani, B. Draoui. Simulation of viscoplastic flows in a rotating vessel using a regularized model. The Int. J. Multiphysics 11(4) (2017) 349-358.

DOI: 10.21152/1750-9548.11.4.349

[5] C.E. Riboldi. An optimal approach to the preliminary design of small hybrid-electric aircraft, Aerosp. Sci. Technol 81 (2018) 14–31.

[6] N. T. Hegde, V. I. George, C. G. Nayak. Modelling and transition flight control of vertical take-off and landing unmanned tri-tilting rotor aerial vehicle. In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE (2019) 590-594.

DOI: 10.1109/iceca.2019.8821804

[7] G.S. Hadi, H.M. Putra, P.T. Dewi, A. Budiyarto. Switching Control Approach for Stable Transition State Process on Hybrid Vertical Take-off and Landing UAV. Journal of Unmanned System Technology 4(2) (2016 ) 51-56.

[8] D. Wada, S. A. Araujo-Estrada, S. Windsor. Unmanned aerial vehicle pitch control under delay using deep reinforcement learning with continuous action in wind tunnel test. Aerospace 8(9) (2021) 258.

DOI: 10.3390/aerospace8090258

[9] X. Zhou and X. Zhang. Multi-objective-optimization-based control parameters auto-tuning for aerial manipulators. International Journal of Advanced Robotic Systems 16(1) (2019) 1–13.

DOI: 10.1177/1729881419828071

[10] S. Kim, N. Das, R. Bhattacharya. Modeling and optimal control of hybrid UAVs with wind disturbance. arXiv preprint arXiv: 2006 (2020) 11192.

[11] A. Benmoussa and P.V. Gamboa. Effect of Control Parameters on Hybrid Electric Propulsion UAV Performance for Various Flight Conditions: Parametric Study. Applied Mechanics 4(2) (2023) 493-513.

DOI: 10.3390/applmech4020028

[12] P.F. Albuquerque, P.V. Gamboa, M.A. Silvestre. Mission-based multidisciplinary aircraft design optimization methodology tailored for adaptive technologies. Journal of aircraft 55(2) (2018) 755-770.

DOI: 10.2514/1.c034403