Active Control of Shimmy Vibration in Aircraft Nose Landing Gear using Fuzzy and NARMA-L2 Controllers

Subject Areas : vibration and control

Milad  Yazdanpanah ¹ (Department of Electrical Engineering, science and research branch of Azad University, Iran)
Alireza  Nateghi ² (Faculty of Electrical and Computer Engineering, Shahid Sattari University of Aeronautical Engineering, Iran)
hassan  Zare ³ (Department of Electrical Engineering, Technical and Vocational University (TVU), Iran)

Received: 2022-08-14 Accepted : 2023-01-18 Published : 2023-06-01

Keywords: Aircraft, NARMA-L2, Suspension Oscillations, Neural Controller, Fuzzy controller,

Abstract :

In this paper, control of shimmy vibration of aircraft nose landing gear is presented. In this regard, the NARMA-L2 neural controller and a robust controller using a fuzzy method are designed and compared. The efficiency of these controllers was measured by comparing the results obtained from CTM and PID controllers. Using the NARMA-L2 neural controller, maximum effort and settling time are improved whereas using fuzzy controller overshoot of the vibration response improvement in the closed-loop system was observed. According to these results, a large part of the design requirements can be solved by the implemented controllers.

References:

• Rahmani, M., Behdinan, K., On the Effectiveness of Shimmy Dampers in Stabilizing Nose Landing Gears, Aerospace Science and Technology, Vol. 91, No. 1, 2019, pp. 272-286.


• Rahmani, M., Behdinan, K., Structural Design and Optimization of A Novel Shimmy Damper for Nose Landing Gears, Structural and Multidisciplinary Optimization, Vol. 62, No. 5, 2020, pp. 2783-2803.


• Haddadpour, H., Bornassi, S., The Shimmy Vibration Analysis of Aircraft Landing Gear, Journal of Aeronautical Engineering, Vol. 13, No. 2, 2011, pp. 59-69.


• D’Avico, L., Tanelli, M., and Savaresia, S. M., Experimental Validation of Landing-Gear Dynamics for Anti-Skid Control Design, IEEE European Control Conference, Vol. 1, 2018, pp. 2751-2756.


• Zhao, K., Okolo, P., Neri, E., Chen, P., Kennedy, J., and Bennett, G. J., Noise Reduction Technologies for Aircraft Landing Gear-A Bibliographic Review, Progress in Aerospace Sciences, Vol. 112, No. 1, 2020, pp. 1-23.


• Horta, L. G., Daugherty, R. H., and Martinson, V. J., Modeling and Validation of a Navy A6-Intruder Actively Controlled Landing Gear System, NASA, 1999.


• Tourajizadeh, H., Zare, S., Robust and Optimal Control of Shimmy Vibration in Aircraft Nose Landing Gear, Aerospace Science and Technology, Vol. 50, No.1, 2016, pp. 1-14.


• Zhang T., Dynamic Modeling and Control Strategies for Shimmy in Aircraft Landing Gears, M.S. Thesis, 2016.


• Burbano, L. D. A., Coraggio, M., Di-Bemardo, M., Garofalo, F., and Pugliese, M., Adaptive and Quasi-Sliding Control of Shimmy in Landing Gears, European Control Conference, Vol. 1, 2018, pp. 1-20.


• Orlando, C., Modified Simple Adaptive Control of Aircraft NLG Shimmy, AIP Conference Proceedings, Vol. 1, 2020, pp. 34-43.


• Li, F., Zhao, Y., Amplitude Reduction Optimization of Time Delay Semi-Active Control for Aircraft Landing Gear Shimmy, Journal of Physics: Conference Series, Vol. 34, 2022, pp. 87-100.


• Wang, Y., Jin, X., Yin, Y., Using Nonlinear Feedback Control to Improve Aircraft Nose Landing Gear Shimmy Performance, Meccanica, Vol. 57, No. 9, 2022, pp. 2395-411.


• Pukrittayakamee, A., De Jesús, O., and Hagan, M. T., Smoothing the Control Action for NARMA-L2 Controllers, Midwest Symposium on Circuits and Systems, Vol. 3, 2002, pp. 1-20.


• El Hamidi, K., Mjahed, M., El Kari, A., Ayad, H., and El Gmili, N., Design of Hybrid Neural Controller for Nonlinear MIMO System Based on NARMA-L2 Model, IETE Journal of Research, Vol. 50, No. 1, 2021, pp. 1-14.


• El Hamidi, K., Mjahed, M., El Kari, A., Ayad, H., and El Gmili, N., Design of Hybrid Neural Controller for Nonlinear MIMO System Based on NARMA-L2 Model, IETE Journal of Research, Vol. 50, No. 2, 2021, pp. 1-14.


• Al-Fallooji, N. S., Abbod, M., Helicopter Control Using Fuzzy Logic and Narma-L2 Techniques, International Journal of Intelligent Systems & Applications, Vol. 12, No. 5, 2020, pp. 1-20.


• Lu, F., Yan, Z., Tang, J., Huang, J., Qiu, X., and Gao, Y., Iterative Learning NARMA-L2 Control for Turbofan Engine With Dynamic Uncertainty in Flight Envelope, Proceedings of the Institution of Mechanical Engineers, Vol. 1, 2021, pp. 124-140.


• Derdiyok, A., Soysal, B., Arslan, F., Ozoglu, Y., and Garip, M., An Adaptive Compensator for A Vehicle Driven by DC Motors, Journal of the Franklin Institute, Vol. 342, No. 3, 2005, pp. 273-283.


• Chwa, D., Fuzzy Adaptive Tracking Control of Wheeled Mobile Robots with State-Dependent Kinematic and Dynamic Disturbances, IEEE transactions on Fuzzy Systems, Vol. 20, No. 3, 2011, pp. 587-593.


• Vermeiren, L., Dequidt, A., Afroun, M., and Guerra, T. M., Motion Control of Planar Parallel Robot Using the Fuzzy Descriptor System Approach, ISA Transactions, Vol. 51, No. 5, 2012, pp. 596-608.


• Pouly, G., Huynh, T. H., Lauffenburger, J. P., and Basset, M., Active Shimmy Damping Using Fuzzy Adaptive Output Feedback Control, 10th International Conference on Control, Automation, Robotics and Vision, Vol. 1, 2008, pp. 16-22.


• Pouly, G., Huynh, T. H., Lauffenburger, J. P., and Basset, M., Indirect Fuzzy Adaptive Control for Active Shimmy Damping, IFAC Proceedings Volumes, Vol. 41, No. 2, 2008, pp. 15058-15063.


• Pouly, G., Huynh, T. H., Lauffenburger, J. P., and Basset, M., State Feedback Fuzzy Adaptive Control for Active Shimmy Damping, European Journal of Control, Vol. 17, No. 4, 2011, pp. 370-393.


• Tourajizadeh, H., Zare, S., Optimal Control of Shimmy Oscillation in Aircraft Nose Landing Gear, Modares Mechanical Engineering, Vol. 15, No. 8, 2015, pp. 207-215.


• Heydarzadeh, M., Karbasizadeh N., Tale Masouleh M., and Kalhor A., Experimental Kinematic Identification and Position Control of a 3-DOF Decoupled Parallel Robot, Journal of Mechanical Engineering Science, Vol. 233, No. 5, 2019, pp. 1841-55.


• Celikel, R., Aydogmus, O., NARMA-L2 Controller for Single Link Manipulator, International Conference on Artificial Intelligence and Data Processing, Vol. 1, 2018, pp. 1-6.


• Bustamante, R. D., Bastos, B. S., De Oliveira, J. S., and Santos, B. F., Nonlinear Autoregressive-Moving Average-L2 (NARMA-L2) Controller for Multivariable Ball Mill Plant, Chemical Product and Process Modeling, Vol. 23, No. 1, 2021, pp. 1-15.