DESIGN OF HIGHLY REDUNDANT FAULT TOLERANT CONTROL FOR AIRCRAFT ELEVATOR SYSTEM

  • Muhammad Tayyeb FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Department of Electrical Engineering, Punjab, Pakistan
  • Umar Riaz FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Department of Electrical Engineering, Punjab, Pakistan
  • Arslan Ahmed Amin FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Department of Electrical Engineering, Punjab, Pakistan
  • Omer Saleem FAST National University of Computer and Emerging Sciences, Lahore Campus, Department of Electrical Engineering, Punjab, Pakistan
  • Muhammad Arslan FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Department of Electrical Engineering, Punjab, Pakistan
  • Muhammad Hamza Shahbaz FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Department of Electrical Engineering, Punjab, Pakistan
Keywords: elevator control system, fault tolerant control, elevator fault detection, redundancy, modified triple modular redundancy, dual redundancy

Abstract


Elevators are surfaces of flight control, typically at the rear of an aircraft to control the pitch of the plane, the angle of attack and the wing lift. The most critical actuation device is longitudinal aircraft control, and its failures will result in a catastrophic aircraft crash. This paper proposes a Highly Redundant Fault Tolerant Control (HRFTC) policy for the aircraft to accommodate faults in the critical sensors and actuators. Modified Triple Modular Redundancy (MTMR) has been proposed for the sensors and Dual Redundancy (DR) has been proposed for the actuators.  The working of control laws, pilot order, signal conditioning, and failure are elaborated. Furthermore, the PID controller is used for the adjustment of the position of the elevator by comparing it with a set point. The results show that when a fault occurs, the system detects it successfully and tolerates it quickly without disturbing the flight of aircraft. The study is significant for the avionics industry for manufacturing highly reliable machines for human and environmental safety.

References

J. Jiang, “Fault-tolerant Control Systems—An Introductory Overview,” vol. 31, no. 1, pp. 161–174, Jan. 2005.

Y. Zhang and J. Jiang, “Bibliographical review on reconfigurable fault-tolerant control systems,” Annual reviews in control, vol. 32, no. 2, pp. 229–252, 2008.

A. A. Amin and K. M. Hasan, “A review of Fault Tolerant Control Systems: Advancements and applications,” Measurement, vol. 143, pp. 58–68, Sep. 2019, doi: 10.1016/j.measurement.2019.04.083.

A. A. Amin and K. Mahmood-ul-Hasan, “Robust active fault-tolerant control for internal combustion gas engine for air–fuel ratio control with statistical regression-based observer model,” Measurement and Control, vol. 52, no. 9–10, pp. 1179–1194, Nov. 2019, doi: 10.1177/0020294018823031.

A. A. Amin and K. Mahmood-ul-Hasan, “Hybrid fault tolerant control for air–fuel ratio control of internal combustion gasoline engine using Kalman filters with advanced redundancy,” Measurement and Control, vol. 52, no. 5–6, pp. 473–492, 2019.

M. H. Rahman, S. Rafique, and M. S. Alam, “A Fault Tolerant Voter Circuit for Triple Modular Redundant System,” Journal of Electrical and Electronic Engineering, vol. 5, no. 5, pp. 156–166, Sep. 2017, doi: 10.11648/j.jeee.20170505.11.

R. Şinca and Cs. Szász, “Fault-tolerant digital systems development using triple modular redundancy,” International Review of Applied Sciences and Engineering, vol. 8, no. 1, pp. 3–7, Jun. 2017, doi: 10.1556/1848.2017.8.1.2.

X. Yu and J. Jiang, “Fault-Tolerant Flight Control System Design Against Control Surface Impairments,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 2, pp. 1031–1051, Apr. 2012, doi: 10.1109/TAES.2012.6178047.

“Applying Model-Based Design to a Fault Detection, Isolation, and Recovery system,” Military Embedded Systems. http://mil-embedded.com/article-id/?1896= (accessed Apr. 04, 2019).

“Detect Faults in Aircraft Elevator Control System - MATLAB & Simulink - MathWorks India.” https://in.mathworks.com/help/stateflow/examples/fault-detection-control-logic-in-an-aircraft-elevator-control-system.html (accessed Apr. 04, 2019).

P. Mosterman and J. Ghidella, “Model Reuse for the Training of Fault Scenarios in Aerospace,” in AIAA Modeling and Simulation Technologies Conference and Exhibit, American Institute of Aeronautics and Astronautics.

J. Cieslak, A. Zolghadri, and D. Henry, “Fault tolerant flight control: from theory to piloted flight simulator experiments,” IET Control Theory & Applications, vol. 4, no. 8, pp. 1451–1464, Aug. 2010, doi: 10.1049/iet-cta.2009.0146.

X. Chen, J. H. Park, J. Cao, and J. Qiu, “Sliding mode synchronization of multiple chaotic systems with uncertainties and disturbances,” Applied Mathematics and Computation, vol. 308, pp. 161–173, Sep. 2017, doi: 10.1016/j.amc.2017.03.032.

X. Chen, J. H. Park, J. Cao, and J. Qiu, “Adaptive synchronization of multiple uncertain coupled chaotic systems via sliding mode control,” Neurocomputing, vol. 273, pp. 9–21, Jan. 2018, doi: 10.1016/j.neucom.2017.07.063.

H. Zhang, X. Liu, J. Wang, and H. R. Karimi, “Robust H∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system,” Int J Adv Manuf Technol, vol. 73, no. 5, pp. 1095–1104, Jul. 2014, doi: 10.1007/s00170-014-5910-8.

KaoYonggui, XieJing, WangChanghong, and K. Reza, “A sliding mode approach to H ∞ non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems,” Automatica (Journal of IFAC), Feb. 2015, Accessed: Apr. 04, 2020. [Online]. Available: https://dl.acm.org/doi/abs/10.1016/j.automatica.2014.10.095.

Y. Wang, H. Shen, H. R. Karimi, and D. Duan, “Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 3, pp. 1164–1176, Jun. 2018, doi: 10.1109/TFUZZ.2017.2710952.

Y. Wang, Y. Gao, H. R. Karimi, H. Shen, and Z. Fang, “Sliding Mode Control of Fuzzy Singularly Perturbed Systems With Application to Electric Circuit,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 10, pp. 1667–1675, Oct. 2018, doi: 10.1109/TSMC.2017.2720968.

Y. Wang, Y. Xia, H. Shen, and P. Zhou, “SMC Design for Robust Stabilization of Nonlinear Markovian Jump Singular Systems,” IEEE Transactions on Automatic Control, vol. 63, no. 1, pp. 219–224, Jan. 2018, doi: 10.1109/TAC.2017.2720970.

H. Yan, H. Zhang, F. Yang, X. Zhan, and C. Peng, “Event-Triggered Asynchronous Guaranteed Cost Control for Markov Jump Discrete-Time Neural Networks With Distributed Delay and Channel Fading,” IEEE Transactions on Neural Networks and Learning Systems, 2018, doi: 10.1109/TNNLS.2017.2732240.

H. Yan, Q. Yang, H. Zhang, F. Yang, and X. Zhan, “Distributed H_ınfty State Estimation for a Class of Filtering Networks With Time-Varying Switching Topologies and Packet Losses,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 12, pp. 2047–2057, Dec. 2018, doi: 10.1109/TSMC.2017.2708507.

H. Yan, F. Qian, H. Zhang, F. Yang, and G. Guo, “Fault Detection for Networked Mechanical Spring-Mass Systems With Incomplete Information,” IEEE Transactions on Industrial Electronics, vol. 63, no. 9, pp. 5622–5631, Sep. 2016, doi: 10.1109/TIE.2016.2559454.

N. Shaohua, “Research on Fault Trend Prediction Method of wind Turbine based on Data,” North China Electric Power university, 2015.

T. Qidong, “Study on Failure Trend Forecasting and Coping Strategies of APU,” Civil Aviation University of China, 2014.

D. Lei, R. Zhang, and L. Qingdong, “Fault prediction for aircraft control surface damage based on SMO-SVR,” Journal of Beijing University of Aeronautics and Astronautics, vol. 10, pp. 1300–1305, 2012.

L. Bin, Z. Wei-guo, N. Dong-fang, and Y. Wei, “Fault Prediction System of Airplane Steer surface Based on Neural Network Model,” Journal of System Simulation, vol. 21, pp. 5840–5842, 2008.

X. Wang, S. Wang, Z. Yang, and C. Zhang, “Active fault-tolerant control strategy of large civil aircraft under elevator failures,” Chinese Journal of Aeronautics, vol. 28, no. 6, pp. 1658–1666, Dec. 2015, doi: 10.1016/j.cja.2015.10.001.

A. Zolghadri, “The challenge of advanced model-based FDIR for real-world flight-critical applications,” Engineering Applications of Artificial Intelligence, vol. 68, pp. 249–259, Feb. 2018, doi: 10.1016/j.engappai.2017.10.012.

Published
2020/11/27
Section
Original Scientific Paper