| Citation: | XU M，LI Y，GAO J，et al. Design of aircraft anti-skid braking system integral sliding mode control system based on novel reaching law[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（4）：1107-1116 （in Chinese） doi: 10.13700/j.bh.1001-5965.2023.0185
|
Aircraft anti-skid braking system (AABS) has the characteristics of strong time variability, strong unpredictability, and many internal and external interference factors. Therefore, an integral sliding mode control (ISMC) method of AABS with variable exponential fractional order exponential reaching law was proposed. Firstly, the dynamics model of the aircraft landing system was established. Secondly, in order to improve the rapidity and robustness of the system, a variable structure control method was introduced to realize the tracking of optimal slip rate and optimal binding coefficient. Then,by improving the ISMC law of the exponential fractional order reaching law, the chattering phenomenon was suppressed, and the tracking speed to the optimal slip rate was accelerated. In addition, a sliding mode observer was designed to observe the aircraft speed to reduce the internal and external nonlinear interference. Finally, the feasibility and effectiveness of the algorithm were verified by the MATLAB simulation platform. The simulation results show that the overall control effect of the designed integral sliding mode controller with variable exponential fractional order reaching law is better than the traditional linear sliding mode controller, and the sliding mode observer can accurately estimate the aircraft speed.The method improves the robustness of the overall system design and shortens the braking time and braking distance, and the control effect is great.
| [1] |
DU C L, LI F B, YANG C H, et al. Multiphase-based optimal slip ratio tracking control of aircraft antiskid braking system via second-order sliding-mode approach[J]. IEEE/ASME Transactions on Mechatronics, 2021, 27(2): 823-833.
|
| [2] |
MENG Y Z, JIANG B, QI R Y. Adaptive fault-tolerant attitude tracking control of hypersonic vehicle subject to unexpected centroid-shift and state constraints[J]. Aerospace Science and Technology, 2019, 95: 105515. doi: 10.1016/j.ast.2019.105515
|
| [3] |
JIAO Z X, SUN D, SHANG Y X, et al. A high efficiency aircraft anti-skid brake control with runway identification[J]. Aerospace Science and Technology, 2019, 91: 82-95. doi: 10.1016/j.ast.2019.05.001
|
| [4] |
QIU Y N, LIANG X G, DAI Z Y. Backstepping dynamic surface control for an anti-skid braking system[J]. Control Engineering Practice, 2015, 42: 140-152. doi: 10.1016/j.conengprac.2015.05.013
|
| [5] |
TANG Y G, ZHANG X Y, ZHANG D L, et al. Fractional order sliding mode controller design for antilock braking systems[J]. Neurocomputing, 2013, 111: 122-130. doi: 10.1016/j.neucom.2012.12.019
|
| [6] |
HUŠEK P. Adaptive sliding mode control with moving sliding surface[J]. Applied Soft Computing, 2016, 42: 178-183. doi: 10.1016/j.asoc.2016.01.009
|
| [7] |
SAVITSKI D, IVANOV V, AUGSBURG K, et al. Wheel slip control for the electric vehicle with in-wheel motors: variable structure and sliding mode methods[J]. IEEE Transactions on Industrial Electronics, 2019, 67(10): 8535-8544.
|
| [8] |
LI L B, SUN L L, ZHANG S Z. Mean deviation coupling synchronous control for multiple motors via second-order adaptive sliding mode control[J]. ISA Transactions, 2016, 62: 222-235. doi: 10.1016/j.isatra.2016.01.015
|
| [9] |
JIAO Z X, WANG Z Z, SUN D, et al. A novel aircraft anti-skid brake control method based on runway maximum friction tracking algorithm[J]. Aerospace Science and Technology, 2021, 110: 106482. doi: 10.1016/j.ast.2020.106482
|
| [10] |
D’AVICO L, TANELLI M, SAVARESI S M, et al. An anti-skid braking system for aircraft via mixed-slip-deceleration control and sliding mode observer[C]//Proceedings of the IEEE 56th Annual Conference on Decision and Control. Piscataway: IEEE Press, 2017: 4503-4508.
|
| [11] |
CHEN M Q, XU F R, LIANG X L, et al. MSD-based NMPC aircraft anti-skid brake control method considering runway variation[J]. IEEE Access, 2021, 9: 51793-51804. doi: 10.1109/ACCESS.2021.3070066
|
| [12] |
李繁飙, 黄培铭, 阳春华, 等. 基于非线性干扰观测器的飞机全电刹车系统滑模控制设计[J]. 自动化学报, 2021, 47(11): 2557-2569.
LI F B, HUANG P M, YANG C H, et al. Sliding mode control design of aircraft electric brake system based on nonlinear disturbance observer[J]. Acta Automatica Sinica, 2021, 47(11): 2557-2569(in Chinese).
|
| [13] |
BAKKER E, NYBORG L, PACEJKA H B. Tyre modelling for use in vehicle dynamics studies[R]. Warrendale: SAE International, 1987: 190-204.
|
| [14] |
KIENCKE U, NIELSON L. Automotive control systems: forengine, driveline, and vehicle[J]. Measurement Science and Technology, 2000, 11(12): 1828.
|
| [15] |
林程, 梁晟, 宫新乐, 等. 面向极限工况的分布式驱动电动汽车动力学集成控制方法[J]. 汽车工程, 2022, 44(9): 1372-1385.
LIN C, LIANG S, GONG X L, et al. Integrated dynamic control strategy for extreme maneuvers of 4WIDEVs[J]. Automotive Engineering, 2022, 44(9): 1372-1385(in Chinese).
|
| [16] |
EFE M O. Fractional fuzzy adaptive sliding-mode control of a 2-DOF direct-drive robot arm[J]. IEEE Transactions on Systems, Man, and Cybernetics Part B, Cybernetics, 2008, 38(6): 1561-1570. doi: 10.1109/TSMCB.2008.928227
|
Figures(10) / Tables(1)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@cqjj8.com
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
