Abstract
The longitudinal static stability of the aircraft during maneuvering is affected by the angle of attack. To enhance the stability, it is necessary to design an aircraft stabilization system. Aiming at the problem that the traditional model-based adaptive control method depends too much on the system model in the process of obtaining the control law, a data-driven full-form dynamic linearization-based model-free adaptive control method (FFDL-MFAC) is used to design the flight control law. The appropriate step size factor and the dimensions of the input and output data are selected according to the characteristics of the controlled system. The pseudo-partitioned gradient (PPG) is decoupled according to the structural characteristics of the control law. The decoupling vector contains the connection between inputs and outputs, which can obviously reduce the difficulty of calculation. The method of this paper is used to design the control law of F-16 aircraft longitudinal stabilization system and carry out simulation analysis. After analyzing the results of simulation, it can be shown that the control system based on FFDL-MFAC method has a more flexible structure and meets the requirements of longitudinal stabilization control.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hou, Z.S., Jin, S.T.: Data-Driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems. IEEE Trans. Neural Netw. 22(12), 2173–2188 (2011)
Hou, Z.S., Bu, X.H.: Model free adaptive control with data dropouts. Expert Syst. Appl. 38(8), 10709–10717 (2011)
Liu, S.D., Hou, Z.S., Tian, T.T., Deng, Z.D., Li, Z.X.: A novel dual successive projection-based model-free adaptive control method and application to an autonomous car. In: IEEE Transactions on Neural Networks and Learning Systems, pp. 3444–3457 (2019)
Liu, D., Yang, G.H.: Prescribed performance model-free adaptive integral sliding mode control for discrete-time nonlinear systems. IEEE Trans. Neural Netw. Learn. Syst. 30(7), 2222–2230 (2019)
Wang, Y.S., Hou, M.: Model-free adaptive integral terminal sliding mode predictive control for a class of discrete-time nonlinear systems. ISA Trans. 93, 209–217 (2019)
Jin, S.T., Hou, M.X.: An improved full-form-dynamic-linearization based MFAC for a class of nonlinear systems with exogenous disturbance. In: 34th Chinese Control Conference, pp. 3045–3050 (2015)
Li, W., Ren, C., Wang, L., Ding, Y., Ma, S., Zhu, X.: Trajectory tracking control of a parallel drive manipulator based on model free adaptive control. In: Chinese Control Conference, pp. 4661–4666 (2019)
Hou, Z.S., Xiong, S.S.: On model-free adaptive control and its stability analysis. IEEE Trans. Autom. Control 64(11), 4555–4569 (2019)
Acknowledgements
This work was supported by Shaanxi Province Key Laboratory of Flight Control and Simulation Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, X., Zhang, Y., Zhao, H., Ming, R. (2022). Design of Aircraft Angle of Attack Control Law Based on Model-Free Adaptive Control. 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_131
Download citation
DOI: https://doi.org/10.1007/978-981-15-8155-7_131
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8154-0
Online ISBN: 978-981-15-8155-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)