Advertisement

Fault Diagnosis and Control of a KYB MMP4 Electro-Hydraulic Actuator for LDVT Sensor Fault

  • Tan Van Nguyen
  • Cheolkeun Ha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10955)

Abstract

The electro-hydraulic actuator (EHA) has been used for the precise position and the force con-trol applications. Many controllers have been applied to EHA such as sliding mode, and fuzzy PID controllers. However, the sensor fault problem in the EHA system is difficult to solve and challengeable in controller design. The system can lead to a damage if any sensor becomes faulty. Therefore, in this paper, a fault tolerant control (FTC) of a KYB MMP4 electro-hydraulic actuator is applied based on the mathematical modeling for tracking control in the sensor fault condition. Herein, the FTC for detecting and isolating the sensor fault signal is designed using the unknown input observer (UIO). In the sensor fault case, the fault detection and isolation (FDI) generates the feedback signal to the PID controller to drive the position of the actuator. The simulation and experimentations are performed to verify the performance of the FTC.

Keywords

Unknown input observer Fault-tolerant control PID 

References

  1. 1.
    Ali, S.Y., Selim, S.: Nonlinear adaptive control of semi-active MR damper suspension with uncertainties in model parameters. Nonlinear Dyn. 79, 2753–2766 (2015)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Moonumca, P., Depaiwa, N.: The force tracking control of electro-hydraulic system based on particle swarm optimization. Int. J. Innov. Comput. Inf. Control 12(3), 809–821 (2016)Google Scholar
  3. 3.
    Yao, B., Bu, F., Chiu, G.T.C.: Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments. IEEE Trans. Mechatron. 5(1), 79–91 (2000)CrossRefGoogle Scholar
  4. 4.
    Ahn, K.K., Truong, D.Q.: Online tuning fuzzy PID controller using robust extended Kalman filter. J. Process Control 19, 1011–1023 (2009)CrossRefGoogle Scholar
  5. 5.
    Perron, M., Lafontaine, J., Desjardins, Y.: Sliding-mode control of a servomotor-pump in a position control application. In: Proceedings of IEEE Conference on Electrical and Computer Engineering, Saskatoon, SK, Canada, pp. 1287–1291 (2005)Google Scholar
  6. 6.
    Odgaard, P.F., Stoustrup, J.: Unknown input observer based detection of sensor faults in a wind turbine. In: Proceedings of IEEE International Conference on Control Applications, pp. 310–315 (2010)Google Scholar
  7. 7.
    Fu, X., Liu, B., Zhang, Y., Lian, L.: Fault diagnosis of hydraulic system in large forging hydraulic press. Measurement 49, 390–396 (2014)CrossRefGoogle Scholar
  8. 8.
    Zarei, J., Poshtan, J.: Sensor fault detection and diagnosis of a process using unknown input observer. Math. Comput. Appl. 16(4), 1010–1021 (2011)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Graduated Student, Department of Mechanical and Aerospace EngineeringUlsan UniversityUlsanSouth Korea
  2. 2.Department of Mechanical EngineeringUniversity of UlsanUlsanKorea

Personalised recommendations