Multi-variable coupled mechanism and kinetic energy stiffness analysis method for a mechanical-electrical hydraulic system

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (11) : 27-33.

ZHAO Song1 GU Lichen1,2 YANG Bin1

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Abstract

Aiming at the urgent demand of performance reliability analysis and evaluation method for a mechanical-electrical hydraulic system, the coupled mechanism of multi-energy-domain parameters under the combined action of load condition and power source was analyzed. The function-effect chain among mechanical, electrical and hydraulic subsystems was established. Based on the above theoretical basis, the analysis method of kinetic energy stiffness（KES）suitable for the mechanical-electrical hydraulic system was proposed. The changing law of the system’s KES under the action of multi-source parameters was revealed. Taking a typical mechanical-electrical hydraulic system-variable speed pump controlled motor system as the study object, its mathematical model was built. The effect mechanism of multi-energy-domain parameters on the system’s running states was analyzed. The physical meaning of KES and its important meaning to evaluation of the mechanical-electrical hydraulic system’s running states were presented. In order to measure KES, the magnitude of KES was calculated with the change rate of multi-source signals of the system. The theoretical analysis and test results indicated that KES is the inner multi-variable coupled effect of the mechanical-electrical hydraulic system, it varies with multi-energy-domain parameters; according to different excitation sources, KES can be divided into forward KES and reversed KES, they can be the evaluation indexes for the system’s anti-power source varying and anti-load disturbance performances, respectively; on-line detecting and controlling the “rigid-flexible” matching process of the system’s KES can effectively safeguard the running performance reliability of the mechanical-electrical hydraulic system.

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mechanical-electrical hydraulic system / kinetic energy stiffness / multi-variable coupling / performance reliability

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ZHAO Song1 GU Lichen1,2 YANG Bin1. Multi-variable coupled mechanism and kinetic energy stiffness analysis method for a mechanical-electrical hydraulic system[J]. Journal of Vibration and Shock, 2018, 37(11): 27-33

References

[1] 王恒,马海波,徐海黎,等.机械设备性能退化评估与预测研究综述[J].机械强度, 2013,35(6):716-723.
WANG Heng, MA Haibo, XU Haili, et al. Peview on Machinery Performance Degradation Assessment and Prognostics[J]. Journal of Mechanical Strength, 2013(6): 716-723.
[2] 何正嘉,曹宏瑞,訾艳阳,等.机械设备运行可靠性评估的发展与思考[J].机械工程学报,2014,50(2):171-186.
HE Zhengjia, CAO Hongrui, ZI Yanyang, et al. Developments and Thoughts on Operational Reliability Assessment of Mechanical Equipment[J]. Journal of Mechanical Engineering, 2014, 50(2) :171-186.
[3] CAESARENDRA W, WIDODO A, THOM P H，et a1. Combined probability approach and indirect data-driven method for bearing degradation prognostics[J]. IEEE Transactions on Reliability,2011,60(1):14-20.
[4] 关山,石志标,刘炎.基于多特征融合的刀具磨损识别方法[J].振动、测试与诊断,2014,34(3):576-584.
GUAN Shan, SHI Biaozhi, LIU Yan. Identification Method of Tool Wear Based on Multi-Feature Fusion[J]. Journal of Vibration, Measurement & Diagnosis, 2014, 34(3): 576-584.
[5] 祝海林,高澜庆.基于流量信号的液压系统故障诊断[J].北京科技大学学报,2001,23(1):66-70.
ZHU Hailin, GAO Lanqing. Faults Diagnosis of Hydraulic Systems based on Flow Signals[J]. Journal of University of Science and Technology Beijing, 2001,23(1):66-70.
[6] 杨彬,谷立臣,刘永.机电液系统动能刚度图示化在线识别技术[J].振动与冲击,2017,36(4):126-133.
YANG Bin, GU Lichen, LIU Yong. A Graphical Technique of Kinetic Stiffness Identification for Mechanical Electro-hydraulic System[J]. Journal of Vibration and Shock, 2017, 36(4): 126-133.
[7] Olugbenga Moses Anubi, Carl D. Crane III. A new active variable stiffness suspension system using a nonlinear energy sink-based controller[J]. Vehicle System Dynamics International Journal of Vehicle Mechanics & Mobility, 2013, 51(10):1588-1602.
[8] 姜万录,朱勇,郑直,等.电液伺服系统非线性振动机理及试验研究[J].机械工程学报,2015,51(4):175-184.
JIANG Wanlu, ZHU Yong, ZHENG Zhi, et al. Nonlinear Vibration Mechanism of Electro-hydraulic Servo System and Its Experimental Verification[J], Journal of Mechanical Engineering, 2015,51(4):175-184.
[9] 林荣川,郭隐彪,魏莎莎,等.非线性耦合力作用下液压马达低速波动机理分析[J].农业机械学报, 2011, 42(6): 213-218.
LIN Rongchuan, GUO Yinbiao, WEI Shasha, et al. Mechanism of Low Speed Fluctuation for Hydraulic Motor Based on Nonlinear Coupled Force[J], Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(6): 213-218.
[10] 王林鸿,杜润生,吴波,等.液压缸低速运动的动态分析[J].中国机械工程,2006,17(20):2098-2101.
WANG Linhong, DU Runsheng, WU Bo, et al. Dynamic Analysis on Slow Moving Hydraulic Cylinder[J], China Mechanical Engineering, 2006,17(20):2098-2101.
[11] 陈燎,周孔亢,李仲兴.空气弹簧动态特性拟合及空气悬架变刚度计算分析[J].机械工程学报,2010,46(4):93-98.
CHEN Liao, ZHOU Kongkang, LI Zhongxing. Dynamic Characteristics Fitting of Air Springs and Numerical Analysis of Air Suspensions with Variant Stiffness[J]. Journal of Mechanical Engineering, 2010,46 (4):93-98.
[12] 谷立臣,刘佩津,陈江城.基于电参量信息融合的液压系统状态识别技术[J].机械工程学报,2011,47(24):141-150.
GU Lichen, LIU Peijin, CHEN Jiangcheng. State Recognition Technique of Hydraulic System Based on Electrical Parameters Information Fusion[J], Journal of Mechanical Engineering, 2011,47 (24):141-150.
[13] Manring N D, Luecke G R. Modeling and Designing a Hydrostatic Transmission with a Fixed-Displacement Motor[J]. Journal of Dynamic Systems Measurement & Control, 1998, 120 (1): 45-49.
[14] Kugi A, Schlacher K, Aitzetmüller H, et al. Modeling and simulation of a hydrostatic transmission with variable displacement pump. Mathematics and Computers in Simulation, 2000, 53(4), 409-414.
[15] Paynter H M. Hydraulics by analog-an electronic model of a pumping plant[J], Boston Soc Civil Engng, 1959, 3(8): 197-219.
[16] HERZOG S N, NEVEU C D, PLACEK D G. The Benefits of Maximum Efficiency Hydraulic Fluids[J]. Machinery Lubrication, 2005, 25(7) :7-16.