Harmonic control method for square waveform reproduction in an electro-hydraulic servo testing machine

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (17) : 115-120.

LI Chao 1, CHEN Zhangwei 1, HUANG Liansheng 2, QIU hongliang 2

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Abstract

Here, a new harmonic control method for square waveform reproduction in an electro-hydraulic servo test machine was proposed.With this method, amplitude and phase of each harmonic component of response signal were controlled in a close loop to obtain the desired periodic waveform.Firstly, several harmonic waves were used to approximately synthesize a square waveform and amplitude values of these harmonic waves were optimized using Nelder-Mead simplex method.Secondly, the amplitude and phase modification methods were presented, and the test machine’s force response was able to be consistent with objective harmonic parameters.Amplitude and phase of each harmonic component of response signal were calculated with the tracking filter method.Finally, some tests were conducted with this method on the electro-hydraulic servo test machine.The results showed that the propo

Key words

harmonic control / waveform reproduction / electro-hydraulic system / material test system / square wave control

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LI Chao 1, CHEN Zhangwei 1, HUANG Liansheng 2, QIU hongliang 2. Harmonic control method for square waveform reproduction in an electro-hydraulic servo testing machine[J]. Journal of Vibration and Shock, 2019, 38(17): 115-120

References

[1] Pereira-Dias D, Costa R R, Peixoto A J. CONTROL OF HYDRAULIC ACTUATED FATIGUE TESTING MACHINES - A REVIEW[C]// International Congress of Mechanical Engineering. 2013.
[2] Lee S R. Self-Tuning Control Application to Closed-Loop Servohydraulic Material Testing[J]. Journal of Dynamic Systems Measurement & Control, 1990, 112(4):680-689.
[3] Kasprzyczak L, Macha E. Selection of settings of the PID controller by automatic tuning at the control system of the hydraulic fatigue stand[J]. Mechanical Systems & Signal Processing, 2008, 22(6):1274-1288.
[4] Clarke DW, Hinton C J. Adaptive control of a materials-testing machine[C]// Adaptive Control. IET, 1997:4/1-4/4.
[5] Clarke D W. Adaptive control of servohydraulic materials-testing machines: a comparison between black- and grey-box models[J]. Annual Reviews in Control, 2001, 25:77-88.
[6] Wu G, Sepehri N. Design of a hydraulic force control system using a generalised predictive control algorithm[J]. IEE Proceedings - Control Theory and Applications, 1998, 145(5):428-436.
[7] Yao J, Wang X, Hu S, et al. Adaline neural network-based adaptive inverse control for an electro-hydraulic servo system[J]. Journal of Vibration & Control, 2011, 17(13):2007-2014.
[8] Sun M, Li C, Liu X. Study on force control for fatigue testing machine based on iterative learning control[C]// 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Dengleng, 2011, pp. 4374-4378.
[9] Wang Y, Li J, Song X, et al. Repetitive Control for the Improvement of Pressure Tracking in Fatigue Test Machine[C]// International Conference on Electrical and Control Engineering. IEEE, 2010:5443 - 5446.
[10] Niksefat N, Sepehri N. Robust force controller design for a hydraulic actuator based on experimental input-output data[C]// American Control Conference, 1999. Proceedings of the. IEEE, 1999:3718-3722 vol.5.
[11] Niksefat N, Sepehri N. Design and experimental evaluation of a robust force controller for an electro-hydraulic actuator via quantitative feedback theory[J]. Control Engineering Practice, 2000, 8(12):1335-1345.
[12] Ahn K K, Dinh Q T. Self-tuning of quantitative feedback theory for force control of an electro-hydraulic test machine[J]. Control Engineering Practice, 2009, 17(11):1291-1306.
[13] Alleyne A, Liu R. A simplified approach to force control for electro-hydraulic systems ☆[J]. Control Engineering Practice, 2015, 8(12):1347-1356.
[14] Guan C, Pan S. Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters[J]. Control Theory & Applications, 2008, 16(11):1275-1284.
[15] Yao J, Jiao Z, Yao B. Nonlinear adaptive robust backstepping force control of hydraulic load simulator: Theory and experiments[J]. Journal of Mechanical Science & Technology, 2014, 28(4):1499-1507.
[16] Truong D Q, Ahn K K. Force control for press machines using an online smart tuning fuzzy PID based on a robust extended Kalman filter[J]. Expert Systems with Applications, 2011, 38(5):5879-5894.
[17] Li J Y, Shao J P, Wang Z W, et al. Study of electro-hydraulic force servo control system based on fuzzy control[C]// IEEE International Conference on Intelligent Computing and Intelligent Systems. IEEE, 2009:688-693.
[18] SánchezECM, Alva JGC, Meggiolaro MA, et al.Learning control and neuro-fuzzy learning control to increase the frequency of fatigue tests[C]// ABCM Symposium Series In Mechatronics. ABCM, 2012(5):232-244.
[19] Lagarias J C, Reeds J A, Wright M H, et al. Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions[J]. Siam Journal on Optimization A Publication of the Society for Industrial & Applied Mathematics, 2006, 9(1):112-147.
[20] Edwin K.P. Chong, Stanislaw H. Zak. 最优化导论[M]. 电子工业出版社, 2015.