Abstract
In the present paper, a robust control algorithm is suggested to stabilize and enhance the behavior of flexible nonlinear airfoils of fixed-wing unmanned aerial vehicles (UAVs). The proposed controller combines sliding mode control (SMC) with high gain observer (HGO) and fuzzy logic control (FLC), applied to multiinput–multioutput aeroelastic model. The plunge and pitch motions are described by the dynamic model of a UAV’s wing section equipped with trailing- and leading-edge control surfaces (TLECS). The two-degree-of-freedom model includes structural and aerodynamic nonlinearities interaction, which can lead to dynamic instabilities such as flutter and limit cycle oscillations (LCO). The lift and moment are expressed via Wagner’s function for unsteady aerodynamics. The results show the system’s responses behavior and demonstrate that the proposed controller leads effectively to have a well-stabilized and chattering-free system, with full suppression of LCO and accurate states’ estimation.
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Ragoub, Z., Lagha, M., Dilmi, S. (2022). Observer-Based Fuzzy Sliding Mode Control for Nonlinear Aeroelastic Models via Unsteady Aerodynamics. In: Bhaumik, S., Chattopadhyay, S., Chattopadhyay, T., Bhattacharya, S. (eds) Proceedings of International Conference on Industrial Instrumentation and Control. Lecture Notes in Electrical Engineering, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-16-7011-4_28
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DOI: https://doi.org/10.1007/978-981-16-7011-4_28
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