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PID controller with feed forward estimation used for fault tolerant control of hydraulic system

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Abstract

The paper stresses on the designing and implementation of a nonlinear offline feed forward controller in association with a PID controller as a fault tolerant control measure for a closed loop hydraulic system. An off-line nonlinear feed forward control with proportional pressure relief valve (PRV) loading on the loading pump has been developed using the subsystem models without taking into considerations the oil compressibility, valve dynamics and leakages associated with various components of the hydraulic circuit. A PID feedback has been utilized in real-time to deal with the unmodeled features and the modelling approximations. The characteristics of the speed response are significantly influenced by the disturbances related to external torque, change in the input magnitude as well as system parameters like inertia load and supply pressure. The real-time control showed that the experimental and predicted closed–loop control performances justify each other quite well. Hence, the PID gains were estimated quite effectively with the help of the developed simulation tool here. The control model produced good agreement between the demanded and real-time speed response for various loading conditions such as step load, sinusoidal load, variable load, triangular load etc.

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References

  1. M. Qiankun, W. Xuyong, Y. Fan, T. Jianfeng and L. Peng, Research on feed-forward PIDD 2 control for hydraulic continuous rotation motor electro-hydraulic servo system with long pipeline, 2016 UKACC 11th International Conference on Control (CONTROL), IEEE (2016) 1–6.

    Google Scholar 

  2. J. C. Mare, Dynamic loading systems for ground testing of high speed aerospace actuators, Aircraft Engineering and Aerospace Technology, 78 (4) (2006) 275–282.

    Article  Google Scholar 

  3. X. Wang, L. Sun and J. Yan, Experimental research on improving loading performance by compounding feedforward control, Acta Simulata Systematica Sinica, 7 (2004) 046.

    Google Scholar 

  4. P. V. D. Braembussche, J. Swevers, H. V. Brussel and P. Vanherck, Accurate tracking control of linear synchronous motor machine tool axes, Mechatronics, 6 (5) (1996) 507–521.

    Article  Google Scholar 

  5. Y. Jianyong, J. Zongxia, S. Yaoxing and H. Cheng, Adaptive nonlinear optimal compensation control for electrohydraulic load simulator, Chinese Journal of Aeronautics, 23 (6) (2010) 720–733.

    Article  Google Scholar 

  6. T. Morita and Y. Sakawa, Modeling and control of a power shovel, Transactions of the Society of Instrument and Control Engineers, 22 (1) (1986) 69–75.

    Article  Google Scholar 

  7. N. Sepehri, P. D. Lawrence, F. Sassani and R. Frenette, Resolved-mode teleoperated control of heavy-duty hydraulic machines, Journal of Dynamic Systems, Measurement, and Control, 116 (2) (1994) 232–240.

    Article  MATH  Google Scholar 

  8. H. Qiu and Q. Zhang, Feedforward-plus-proportionalintegral-derivative controller for an off-road vehicle electrohydraulic steering system, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 217 (5) (2003) 375–382.

    Article  Google Scholar 

  9. B. K. Sarkar, J. Das, R. Saha, S. Mookherjee and D. Sanyal, Approaching servoclass tracking performance by a proportional valve-controlled system, IEEE/ASME Transactions on Mechatronics, 18 (4) (2013) 1425–1430.

    Article  Google Scholar 

  10. E. Papadopoulos, B. Mu and R. Frenette, On modeling, identification, and control of a heavy-duty electrohydraulic harvester manipulator, IEEE/ASME Transactions on Mechatronics, 8 (2) (2003) 178–187.

    Article  Google Scholar 

  11. J. Das, S. K. Mishra, R. Saha, S. Mookherjee and D. Sanyal, Nonlinear modeling and PID control through experimental characterization for an electrohydraulic actuation system: System characterization with validation, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39 (4) (2016) 1177–1187.

    Article  Google Scholar 

  12. C. Yang, Q. Huang and J. Han, Computed force and velocity control for spatial multi-DOF electro-hydraulic parallel manipulator, Mechatronics, 22 (6) (2012) 715–722.

    Article  Google Scholar 

  13. C. Wang, Z. Jiao and L. Quan, Adaptive velocity synchronization compound control of electro-hydraulic load simulator, Aerospace Science and Technology, 42 (2015) 309–321.

    Article  Google Scholar 

  14. C. Wang et al., Nonlinear adaptive torque control of electro-hydraulic load system with external active motion disturbance, Mechatronics, 24 (1) (2014) 32–40.

    Article  Google Scholar 

  15. B. Gao, J. Shao and X. Yang, A compound control strategy combining velocity compensation with ADRC of electro-hydraulic position servo control system, ISA Transactions, 53 (6) (2014) 1910–1918.

    Article  Google Scholar 

  16. S. Gang et al., Adaptive feed-forward compensation for hybrid control with acceleration time waveform replication on electro-hydraulic shaking table, Control Engineering Practice, 21 (8) (2013) 1128–1142.

    Article  Google Scholar 

  17. J. Pan, G. L. Shi and X. M. Zhu, Force tracking control for an electro-hydraulic actuator based on an intelligent feed forward compensator, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 224 (4) (2010) 837–849.

    Google Scholar 

  18. H. Su et al., Feed forward fuzzy PID controller for common-rail pressure control of diesel engine, 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, 2 (2010).

    Google Scholar 

  19. Y. Pi and X. Wang, Observer-based cascade control of a 6-DOF parallel hydraulic manipulator in joint space coordinate, Mechatronics, 20 (6) (2010) 648–655.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Mining Machinery Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, India

    Santosh Kr. Mishra, Gyan Wrat, Prabhat Ranjan & J. Das

Authors
  1. Santosh Kr. Mishra
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  2. Gyan Wrat
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  3. Prabhat Ranjan
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  4. J. Das
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Corresponding author

Correspondence to Santosh Kr. Mishra.

Additional information

Recommended by Associate Editor Baek-Kyu Cho

Santosh Kumar Mishra obtained his Ph.D. degree from Indian institute of Technology (ISM) Dhanbad under the supervision of Dr. Jayanta Das. His areas of interests include fluid power control and hydraulics.

Gyan Wrat is pursuing his Ph.D. degree from Indian institute of Technology (ISM) Dhanbad under the supervision of Dr. Jayanta Das. His areas of interests include fluid power system and control.

Prabhat Ranjan is pursuing his Ph.D. degree from Indian institute of Technology (ISM) Dhanbad under the supervision of Dr. Jayanta Das. His areas of interests include fluid power systems and hybrid hydraulics.

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Mishra, S.K., Wrat, G., Ranjan, P. et al. PID controller with feed forward estimation used for fault tolerant control of hydraulic system. J Mech Sci Technol 32, 3849–3855 (2018). https://doi.org/10.1007/s12206-018-0737-0

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  • DOI: https://doi.org/10.1007/s12206-018-0737-0

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