Position Tracking Optimization for An Electro-hydraulic Actuator System

Authors

  • C. C.Soon Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • R. Ghazali Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • H.I. Jaafar Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • S.Y. S.Hussien Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • S. M. Rozali Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • M.Z. A. Rashid Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Keywords:

Electro-hydraulic Actuator System, Particle Swarm Optimization, PID Controller, Positioning Tracking

Abstract

Electro-hydraulic actuator (EHA) system has received a positive admission and widely utilized in the industrial field for the process such as lifting, clamping and pressing. It is well known that the EHA system is exposed to the disturbances, uncertainties, and parameter variations which are caused by various factors for instance the changes in load or total moving mass, supply pressure, friction and leakage coefficient. These problems consequently pose to a great challenge in EHA system modelling and controller development in order to achieve a good performance in the system positioning control. In this paper, a comparative study in different trajectories that represents the desired positioning which are multi-step and multi-sine reference signal is applied to the system in order to access the capability of the proportional-integral-derivative (PID) controller that is tuned by using the Ziegler-Nichols (ZN) and Particle Swarm Optimization (PSO) tuning methods. The finding shows that the PID controller variables obtained through the PSO tuning method performs better than the conventional ZN tuning method. From the simulation study, it can be concluded that the PSO technique was able to obtain a better PID controller parameter and provides a much satisfying positioning tracking capability

References

R. Ghazali, Y. M. Sam, M. F. Rahmat, Zulfatman, and A. W. I. M. Hashim, “Simulation and experimental studies on perfect tracking optimal control of an electrohydraulic actuator system,” J. Control Sci. Eng., vol. 2012, pp. 670635–1–8, 2012.

Y. He, J. Wang, W. Shen, and J. Zhao, “Indirect adaptive robust dynamic surface control of electro-hydraulic fatigue testing system with huge elastic load,” Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng., vol. 230, no. 2, pp. 115–129, 2016.

S. Agarwal and V. Desai, “Endurance Testing of Aircraft ElectroHydraulic Actuator Using LabVIEW,” Int. J. Robot. Autom., vol. 4, no. 2, pp. 44–59, 2013.

R. He, X. Liu, and C. Liu, “Brake performance analysis of ABS for eddy current and electrohydraulic hybrid brake system,” Math. Probl. Eng., vol. 2013, 2013.

M. Pisaturo and A. Senatore, “High Order Dynamic Model and Control Strategy of Automotive Powertrain System with Electro-hydraulic Driven Dry-clutch,” Hidraulica, no. 1, pp. 7–18, 2015.

F. Meng, G. Tao, T. Zhang, Y. Hu, and P. Geng, “Optimal shifting control strategy in inertia phase of an automatic transmission for automotive applications,” Mech. Syst. Signal Process., vol. 60, pp. 742–752, 2015.

C. S. Lee, J. Bae, and D. Hong, “Contour control for leveling work with robotic excavator,” Int. J. Precis. Eng. Manuf., vol. 14, no. 12, pp. 2055–2060, 2013.

A. Kovari, “Observer Based Leakage Detection of Hydraulic Cylinder Applied in Rolling Mills Electro-Hydraulic Gap Adjustment System,” Mater. Sci. Forum, vol. 729, pp. 424–429, 2013.

J. Wang, Z. C. Wang, L. Y. Xue, and L. Z. Liu, “Optimization Design for MA5300 Injection Molding Machine’s Clamping Unit’s Hydraulic System,” Appl. Mech. Mater., vol. 321, pp. 1770–1774, 2013.

S. F. Golovashchenko, A. J. Gillard, A. V. Mamutov, and R. Ibrahim, “Pulsed electrohydraulic springback calibration of parts stamped from advanced high strength steel,” J. Mater. Process. Technol., vol. 214, no. 11, pp. 2796–2810, 2014.

I. S. Sarraf, J. Samei, D. Green, and S. Golovashchenko, “Strain Hardening in Dual Phase Steel Sheets Formed into a Conical Die Using an Electrohydraulic Forming,” Mater. Sci. Technol. Conf. Exhib. Montr. Quebec, Canada, pp. 2587–2594, 2013.

A. Medhat and M. Youssef, “Optimized PID tracking controller for piezoelectric hysteretic actuator model,” World J. Model. Simul., vol. 9, no. 3, pp. 223–234, 2013.

M. Tajjudin, N. Ishak, H. Ismail, M. H. F. Rahiman, and R. Adnan, “Optimized PID control using Nelder-Mead method for electrohydraulic actuator systems,” in Proceedings - 2011 IEEE ontrol and System Graduate Research Colloquium, ICSGRC 2011, 2011, pp. 90–93.

C. C. Soon, R. Ghazali, H. I. Jaafar, and S. Y. S. Hussien, “PID Controller Tuning Optimization using Gradient Descent Technique for an Electro-hydraulic Servo System,” J. Teknol. Sci. Eng., vol. 77, no. 21, pp. 33–39, 2015.

M. Kalyoncu and M. Haydim, “Mathematical modelling and fuzzy logic based position control of an electrohydraulic servosystem with internal leakage,” Mechatronics, vol. 19, no. 6, pp. 847–858, 2009.

R. Ghazali, Y. M. Sam, M. F. Rahmat, A. W. I. M. Hashim, and Z. Zulfatman, “Position tracking control of an electro-hydraulic servo system using sliding mode control,” Aust. J. Basic Appl. Sci., vol. 4, no. 10, pp. 4749–4759, 2010.

D. M. Wonohadidjojo, G. Kothapalli, and M. Y. Hassan, “Position control of electro-hydraulic actuator system using fuzzy logic controller optimized by particle swarm optimization,” Int. J. Autom. Comput., vol. 10, no. 3, pp. 181–193, 2013.

N. Pillay, “Particle Swarm Optimization Approach for Tuning of Siso Pid Control Loops,” 2008.

R. Eberhart and J. Kennedy, “A new optimizer using article swarm theory,” MHS’95. Proc. Sixth Int. Symp. Micro Mach. Hum. Sci., pp. 39–43, 1995.

Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” Proceedings. IEEE World Congr. Comput. Intell. (Cat. No.98TH8360), pp. 69–73, 1998.

J. Kennedy, J. F. Kennedy, R. C. Eberhart, and Y. Shi, Swarm intelligence. 2001.

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Published

2016-10-01

How to Cite

C.Soon, C., Ghazali, R., Jaafar, H., S.Hussien, S., M. Rozali, S., & A. Rashid, M. (2016). Position Tracking Optimization for An Electro-hydraulic Actuator System. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(7), 1–6. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1269

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