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An Analytical Robust Sensor Fault Detection and Fault Tolerant Control in Quadrotor

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Abstract

Nowadays, because of advancements in technology and increasing use of machine for daily tasks, the optimal use of these devices has become an important issue. Quadrotor is one of tools that are widely used today in various fields of military, agriculture, meteorology, researches, transportation and so on. In this paper, our model is a quadrotor. One of the issues that threaten the optimal performance of today’s machines is fault. The fault is any undesired factor that disables the system’s performance. The fault can be applied to different parts of an industrial system, including system actuators, sensors or parameters. In this paper, we intend to investigate the sensor fault in a quadrotor model. So that, first the sensor fault is detected and then the fault tolerant control (FTC) algorithm is designed to modify the control signals and eliminate the effect of this fault. The method presented in this paper is an analytical method named analytical redundancy relation (ARR) that can easily detect the fault occurrence and design the fault tolerant control algorithm by using residual signals. Another advantage of this method is its robustness against disturbance and uncertainty in system parameters.

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REFERENCES

  1. Mohammadi, A. and Ramezani, A., An active actuator fault-tolerant control of a quadrotor based on analytical redundancy relations, Iran. J. Sci. Technol. Trans. Electr. Eng., 2019, vol. 44, pp. 1069–1079.

    Article  Google Scholar 

  2. Merheb, A.-R., Noura, H., and Bateman, F., Active fault tolerant control of quadrotor UAV using sliding mode control, 2014 International Conference on Unmanned Aircraft Systems (ICUAS), 2014.

  3. Benrezki, R., et al., Passive fault tolerant control of quadrotor UAV using a nonlinear PID, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015.

  4. Sadeghzadeh, I., et al., Fault-tolerant trajectory tracking control of a quadrotor helicopter using gain-scheduled PID and model reference adaptive control, Annual Conference of the Prognostics and Health Management Society, 2011.

  5. Song, Y., Huang, X., and Wen, C., Robust adaptive fault-tolerant PID control of MIMO nonlinear systems with unknown control direction, IEEE Trans. Ind. Electron., 2017, vol. 64, no. 6, pp. 4876–4884.

    Article  Google Scholar 

  6. Tan, J., et al., Sliding mode fault tolerant control for unmanned aerial vehicle with sensor and actuator faults, Sensors, 2019, vol. 19, no. 3, p. 643.

    Article  Google Scholar 

  7. Al Younes, Y., et al., Sensor fault diagnosis and fault tolerant control using intelligent output-estimator applied on quadrotor UAV, 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 2016.

  8. Babu, V.M., Das, K., and Kumar, S., Designing of self-tuning PID controller for AR drone quadrotor, 2017 18th International Conference on Advanced Robotics (ICAR), 2017.

  9. Najm, A.A. and Ibraheem, I.K., Nonlinear PID controller design for a 6-DOF UAV quadrotor system, Eng. Sci. Technol., Int. J., 2019, vol. 22, no. 4, pp. 1087–1097.

    Google Scholar 

  10. Aboutalebi, P., et al., A novel sensor fault detection in an unmanned quadrotor based on adaptive neural observer, J. Intell. Rob. Syst., 2018, vol. 90, nos. 3–4, pp. 473–484.

    Article  Google Scholar 

  11. Liu, S., et al., A fault-tolerant attitude estimation method for quadrotors based on analytical redundancy, Aerosp. Sci. Technol., 2019, vol. 93, 105290.

    Article  Google Scholar 

  12. Lyu, P., et al., An analytical fault diagnosis method for yaw estimation of quadrotors, Control Eng. Pract., 2019, vol. 86, pp. 118–128.

    Article  Google Scholar 

  13. Mouhssine, N., et al., Sensor fault detection of quadrotor using nonlinear parity space relations, 2017 International Conference on Electrical and Information Technologies (ICEIT), 2017.

  14. Bouabdallah, S., Noth, A., and Siegwart, R., PID vs LQ control techniques applied to an indoor micro quadrotor, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004.

  15. Merheb, A.-R., Noura, H., and Bateman, F., Passive fault tolerant control of quadrotor UAV using regular and cascaded sliding mode control, 2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013.

  16. Sharifi, F., et al., Fault tolerant control of a quadrotor UAV using sliding mode control, 2010 Conference on Control and Fault-Tolerant Systems (SysTol), 2010.

  17. Nazari, S., Shafai, B., and Moradmand, A., Robust intrusion detection in dynamic networks, 2019 IEEE Conference on Control Technology and Applications (CCTA), 2019.

  18. Shafai, B., Moradmand, A., and Nazari, S., Observer-based controller design for systems with derivative inputs, 2019 57th Annual Allerton Conference on Communication, Control, and Computing, 2019.

  19. Shafai, B., Nazari, S., and Moradmand, A., A direct algebraic approach to design state feedback and observers for singular systems, 2019 Conference on Control Technology and Applications Control, and Computing (CCTA), 2019.

  20. Moradmand, P.A. and Khaloozadeh, H., An experimental study of modeling and self-tuning regulator design for an electro-hydro servo-system, 2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA), 2017.

  21. Fazal, Q., Liaquat, M., and Iftikhar, M., Robust fault tolerant control of an unmanned aerial vehicle in the presence of actuator faults, 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2016.

  22. Blanke, M., et al., Diagnosis and Fault-Tolerant Control, Springer, 2006, vol. 2.

    MATH  Google Scholar 

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Authors and Affiliations

  1. Electrical and Computer Engineering Department, Tarbiat Modares University, Tehran, Iran

    A. Mohammadi & A. Ramezani

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  1. A. Mohammadi
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  2. A. Ramezani
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Correspondence to A. Ramezani.

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Mohammadi, A., Ramezani, A. An Analytical Robust Sensor Fault Detection and Fault Tolerant Control in Quadrotor. Aut. Control Comp. Sci. 55, 38–52 (2021). https://doi.org/10.3103/S0146411621010053

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  • DOI: https://doi.org/10.3103/S0146411621010053

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