Research Status and Development Trends on Intelligent Key Technology of the Axial Piston Pump

doi:10.3901/JME.2024.04.032

Abstract

Abstract: Axial piston pumps are the heart of the hydraulic system of aerospace, ocean ships, engineering machinery and other high-end equipment. They deliver transmission blood with stable pressure and flow to the hydraulic system. The reliability and safety of axial piston pumps have direct affects on the performance of the hydraulic system and even the complete machine. Therefore,utilizing intelligent technology to achieve predictive maintenance of axial piston pumps has been a research hotspot in recent years. At the same time, the development of unmanned and intelligent equipment has also emphasized the intelligent technology of axial piston pumps. To explore the development direction of the intelligent technology for axial piston pumps and provide a feasible path for the high-quality development, this study reviews the development history and research status of the intelligent technology of axial piston pumps from four aspects, namely, intelligent condition monitoring, intelligent fault diagnosis, intelligent life prediction and intelligent decision regulation. The existing problems and difficulties of the intelligent technologies for axial piston pumps are explored, the challenges of the existing intelligent technologies are summarized, and the future development trends are forecasted.

Key words: axial piston pump, intelligent technology, fault diagnosis, remain useful life prediction, key state monitoring

CLC Number:

TH137

ZHANG Junhui, LIU Shihao, XU Bing, HUANG Weidi, LÜ Fei, HUANG Xiaochen. Research Status and Development Trends on Intelligent Key Technology of the Axial Piston Pump[J]. Journal of Mechanical Engineering, 2024, 60(4): 32-49.

References

[1] SHIKE C,ONODERA A,TAKAHASHI M. Construction jobsites of the future developed by construction equipment manufacturer in centering intelligent machine control equipment (introduction of smartconstruction)[J].Journal of JCMA,2015,67(12):16-20.
[2] FRIDH T,WIKMAN I. Bluetooth remote control for Volvo construction equipment and Volvo Penta[D].Gothenburg:Chalmers University of Technology,2020.
[3] GLOVER M. Caterpillar's autonomous journey-the argument for autonomy[R]. SAE Technical Paper,2016.
[4] 姚锡凡,马南峰,张存吉,等.以人为本的智能制造:演进与展望[J].机械工程学报,2022,58(18):2-15.YAO Xifan, MA Nanfeng, ZHANG Cunji, et al.Human-centric smart manufacturing:Evolution and outlook[J]. Journal of Mechanical Engineering,2022,58(18):2-15.
[5] 薛塬,臧冀原,孔德婧,等.面向智能制造的产业模式演变与创新应用[J].机械工程学报,2022,58(18):303-318.XUE Yuan,ZANG Jiyuan,KONG Dejing,et al. Evolution and innovative implementation of industrial model for intelligent manufacturing[J]. Journal of Mechanical Engineering,2022,58(18):303-318.
[6] HERMANN M,PENTEK T,OTTO B. Design principles for industrie 4.0 scenarios[C]//2016 49th Hawaii International Conference on System Sciences (HICSS).New York:IEEE,2016:3928-3937.
[7] THIBAUT B. L'industrie du futur:Une compétition mondiale[M]. Paris:Presses des MINES,2016.THIBAUT B. The industry of the future:A global competition[M]. Paris:Mines Press,2016.
[8] HAACK S.工业液压的未来:从"恐龙"到"金独角兽"[J].液压与气动,2023,47(8):1-7.HAACK S. The future of industrial hydraulics:From "a dinosaur" to "a golden unicorn"[J]. Chinese Hydraulics & Pneumatics,2023,47(8):1-7.
[9] Bosch Rexroth,AG. Pressure and flow control system:Type SYDFE1, SYDFEE, SYDFED, SYDFEF[EB/OL].[2023-01-30]. https://www.boschrexroth.com/media/d79433b0-fcc8-4a54-8708-bbfcaf46f664?c=ro&lang=ro.
[10] Parker Hannifin. Installation and setup manual:Electro-hydraulic control for serie PVplus[EB/OL].[2021-07-01]. https://www.parker.com/content/dam/Parkercom/Literature/PMDE/Service_Manuals/Piston_Pumps/PV-/MSG30-3254-INST-UK.pdf.
[11] Danfoss. Data sheet:H1P 045/053 axial piston single pumps[EB/OL].[2021-12-17]. https://assets.danfoss.com/documents/195138/AI152886482978en-000701.pdf.
[12] Eaton. X3 axial piston pump catalog:Variable displacement closed circuit[EB/OL].[2021-03-30].https://www.eaton.com/ecm/groups/public/@pub/@eaton/@hyd/documents/content/pct_4152033.pdf.
[13] ZHANG Hongpeng,ZHANG Yindong,LIU Dong,et al.Research on MEMS sensor in hydraulic system flow detection[C]//Fourth International Seminar on Modern Cutting and Measurement Engineering. SPIE,2011,7997:672-677.
[14] RUGGERI M,BELSITO L,BOSI F,et al. Advancements in noninvasive pressure sensing in hydraulic components[C]//Fluid Power Systems Technology.American Society of Mechanical Engineers,2023,87431:V001T01A001.
[15] GROEPPER C,CUI Tianhong,LI P,et al. Integrated pressure-flow-temperature sensor for hydraulic systems[C]//ASME International Mechanical Engineering Congress and Exposition. 2005,42207:183-192.
[16] GROEPPER C,LI P,CUI Tianhong,et al. MEMS pressure-flow-temperature sensor for hydraulic systems[J].Advanced Mechatronics and MEMS Devices II,2017:387-420.
[17] KAWAKITA S,KATO S,TANAKA S,et al. Measurement of oil film thickness distribution between a slipper and swash plate in swash-plate-type axial piston pumps[J].Tribology Online,2022,17(4):283-290.
[18] IVANTYSYN R, SHORBAGY A, WEBER J. An approach to visualize lifetime limiting factors in the cylinder block/valve plate gap in axial piston pumps[C]//Fluid Power Systems Technology. American Society of Mechanical Engineers,2017,58332:V001T01A064.
[19] IVANTYSYN R,SHORBAGY A,WEBER J. Analysis of the run-in behavior of axial piston pumps[C]//2018 Global Fluid Power Society PhD Symposium (GFPS).IEEE,2018:1-9.
[20] KIM J,JUNG J. Measurement of fluid film thickness on the valve plate in oil hydraulic axial piston pumps (I)-bearing pad effects[J]. KSME International Journal,2003,17:246-253.
[21] KIM J,KIM H,LEE Y,et al. Measurment of fluid film thickness on the valve plate in oil hydraulic axial piston pumps (Part II:Spherical design effects)[J]. Journal of Mechanical Science and Technology,2005,19:655-663.
[22] XU Haogong,ZHANG Junhui,SUN Guangmin,et al. The direct measurement of the cylinder block dynamic characteristics based on a non-contact method in an axial piston pump[J]. Measurement,2021,167:108279.
[23] ZHANG Junhui,XU Haogong,CHEN Junyuan,et al.Modeling and analysis of the tilt behavior of the cylinder block in a high-speed axial piston pump[J]. Mechanism and Machine Theory,2022,170:104735.
[24] 恒立液压. V90N-DP系列斜盘式轴向柱塞并联变量泵[EB/OL].[2023-06-30]. https://www.henglihydraulics.com/zh-CN/product2/V90N-DP/V90N-DP-Series. Hengli Hydraulic. V90N-DP series inclined plate axial piston parallel variable displacement pump[EB/OL].[2023-06-30]. https://www.henglihydraulics.com/zh-CN/product2/V90N-DP/V90N-DP-Series.
[25] Parker Hannifin. Axial piston pump:Series e P2/eP3-electronic controls variable displacement[EB/OL].[2019-02-20]. https://www.parker.com/content/dam/Parkercom/Literature/PMDE/Catalogs/Piston_Pumps/P2-P3/MSG30-2900-UK.pdf.
[26] ATOS. Proportional control for axial piston pumps[EB/OL].[2021-12-30]. https://www.atos.com/tables/english/AS170.pdf.
[27] Bosch Rexroth,AG. Digital control electronics for axial piston pumps:Type VT-HPC[EB/OL].[2015-09-30].https://dc-es.resource.bosch.com/media/es/newsletter_4/04_2015/RE30237_Control_VT.pdf.
[28] BAUS I,RAHMFELD R,SCHUMACHER A,et al. Load cycle investigation of axial piston units integrated into a forwarder[J]. MM Science Journal,2018:2460-2465.
[29] TOOTHMAN M, TING E, SKOW E, et al.Multifunctional self-powered hydraulic system sensor node[C]//Sensors and Smart Structures Technologies for Civil,Mechanical,and Aerospace Systems 2018,SPIE,2018,10598:179-189.
[30] ZHU Deming,WANG Mingkang,FU Yongling. Design and validation of electro-hydraulic pumping unit for smart manufacturing[J]. The International Journal of Advanced Manufacturing Technology,2022:1-12.
[31] Bosch Rexroth, AG. CytroConnect Solutions[EB/OL].[2022-09-27]. https://www.boschrexroth.com.cn/media/7eb1ef90-cd5d-4b3b-b852-cd726254efce.
[32] Danfoss. PLUS+1^®Service tool add on license (Professional) data sheet[EB/OL].[2022-11-22].https://assets.danfoss.com/documents/216551/AI170686484420en-000304.pdf.
[33] BEARD R. Failure accomodation in linear systems through self-reorganization[D]. Cambridge:Massachusetts Institute of Technology,1971.
[34] CASOLI P,CAMPANINI F,BEDOTTI A,et al. Overall efficiency evaluation of a hydraulic pump with external drainage through temperature measurements[J]. Journal of Dynamic Systems,Measurement,and Control,2018,140(8):081005.
[35] BEDOTTI A,PASTORI M,LETTINI A,et al. Condition monitoring based on thermodynamic efficiency method for an axial piston pump[C]//Fluid Power Systems Technology. American Society of Mechanical Engineers,2018,51968:V001T01A004.
[36] LI Zeliang. Condition monitoring of axial piston pump[D].Saskatoon:University of Saskatchewan,2005.
[37] TANG H,YANG W,WANG Z. A model-based method for leakage detection of piston pump under variable load condition[J]. IEEE Access,2019,7:99771-99781.
[38] KUMAR N,SARKAR B,MAITY S. Leakage based condition monitoring and pressure control of the swashplate axial piston pump[C]//Gas Turbine India Conference,2019:V002T09A005.
[39] BENSAAD D,SOUALHI A,GUILLET F. A new leaky piston identification method in an axial piston pump based on the extended Kalman filter[J]. Measurement,2019,148:106921.
[40] SHINN T. Condition monitoring of an axial piston pump utilizing the Kalman filter[D]. Columbia:University of Missouri,2018.
[41] SHINN T,CARPENTER R,FALES R. State estimation techniques for axial piston pump health monitoring[C]//Fluid Power Systems Technology,2015:V001T01A065.
[42] MA Zhonghai,WANG Shaoping,SHI Jian,et al. Fault diagnosis of an intelligent hydraulic pump based on a nonlinear unknown input observer[J]. Chinese Journal of Aeronautics,2018,31(2):385-394.
[43] XU Bing,HUANG Xiaochen,ZHANG Junhui,et al. A fault detection method for a practical electro-hydraulic variable-displacement pump with unknown swashplate moment[J]. IEEE Transactions on Instrumentation and Measurement,2023,72:3513511.
[44] GAO Qiang,TANG Hesheng,XIANG Jiawei,et al. A walsh transform-based teager energy operator demodulation method to detect faults in axial piston pumps[J]. Measurement,2019,134:293-306.
[45] DU Jun,WANG Shaoping,ZHANG Haiyan. Layered clustering multi-fault diagnosis for hydraulic piston pump[J]. Mechanical Systems and Signal Processing,2013,36(2):487-504.
[46] LU Chuanqi,WANG Shaoping,MAKIS V. Fault severity recognition of aviation piston pump based on feature extraction of EEMD paving and optimized support vector regression model[J]. Aerospace Science and Technology,2017,67:105-117.
[47] KONIECZNY J, STOJEK J. Use of the k-nearest neighbour classifier in wear condition classification of a positive displacement pump[J]. Sensors,2021,21(18):6247.
[48] LEI Yafei,JIANG Wanlu,NIU Hongjie,et al. Fault diagnosis of axial piston pump based on extreme-point symmetric mode decomposition and random forests[J].Shock and Vibration,2021,2021:1-16.
[49] CASOLI P,PASTORI M,SCOLARI F. A multi-fault diagnostic method based on acceleration signal for a hydraulic axial piston pump[C]//AIP Conference Proceedings. AIP Publishing,2019,2191(1):020037.
[50] HE You,TANG Hesheng,REN Yan,et al. A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis[J]. Measurement,2022,192:110889.
[51] TANG Shengnan,ZHU Yong,YUAN Shouqi. Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization[J]. ISA Transactions,2022,129:555-563.
[52] WANG Shuhui,XIANG Jiawei. A minimum entropy deconvolution-enhanced convolutional neural networks for fault diagnosis of axial piston pumps[J]. Soft Computing,2020,24(4):2983-2997.
[53] WEN Long,LI Xinyu,GAO Liang,et al. A new convolutional neural network-based data-driven fault diagnosis method[J]. IEEE Transactions on Industrial Electronics,2017,65(7):5990-5998.
[54] ZHU Yong,ZHOU Tao,TANG Shengnan,et al. A data-driven diagnosis scheme based on deep learning toward fault identification of the hydraulic piston pump[J].Journal of Marine Science and Engineering,2023,11(7):1273.
[55] ZHU Yong,SU Hong,TANG Shengnan,et al. A novel fault diagnosis method based on SWT and VGG-LSTM model for hydraulic axial piston pump[J]. Journal of Marine Science and Engineering,2023,11(3):594.
[56] HE You,TANG Hesheng,REN Yan,et al. A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis[J]. Measurement,2022,192:110889.
[57] WANG Zhiying,ZHOU Zheng,XU Wengang,et al.Physics informed neural networks for fault severity identification of axial piston pumps[J]. Journal of Manufacturing Systems,2023,71:421-437.
[58] ARCHARD J. Elastic deformation and the contact of surfaces[J]. Nature,1953,172(4385):918-919.
[59] 黄平,温诗铸.粘弹性流体动力润滑与润滑磨损[J].机械工程学报,1996(3):35-41.HUANG Ping,WEN Shizhu. Viso-elastohydrodynamic lubrication and lubricated wear[J]. Journal of Mechanical Engineering,1996(3):35-41.
[60] WEN Shizhu,HUANG Ping. Principles of tribology[M].New York:John Wiley & Sons,2012.
[61] ZOU Qian,HUANG Ping. Abrasive wear model for lubricated sliding contacts[J]. Wear,1996,196(1-2):72-76.
[62] WILLIAMS J. Wear and wear particles-Some fundamentals[J]. Tribology International,2005,38(10):863-870.
[63] BRINKSCHULTE L, MATTES J, GEIMER M. An approach to wear simulation of hydrostatic drives to improve the availability of mobile machines[M]. Aachen:Universitätsbibliothek der RWTH Aachen,2018.
[64] IVANTYSYN R, SHORBAGY A, WEBER J.Investigation of the wear behavior of the slipper in an axial piston pump by means of simulation and measurement[C]//12th International Fluid Power Conference. Dresden:Technische Universität Dresden,2020:315-326.
[65] IVANTYSYN R,SHORBAGY A,WEBER J. Analysis of the run-in behavior of axial piston pumps[C]//2018 Global Fluid Power Society PhD Symposium (GFPS).IEEE,2018:1-9.
[66] IVANTYSYN R,WEBER J. "Transparent pump":An approach to visualize lifetime limiting factors in axial piston pumps[C]//Fluid Power Systems Technology.American Society of Mechanical Engineers,2016,50473:V001T01A006.
[67] LI Tongyang, WANG Shaoping, SHI Jian, et al.Mechanical wear life prediction based on abrasive debris generation[C]//2019 Prognostics and System Health Management Conference (PHM-Paris). IEEE, 2019:79-84.
[68] LI Tongyang. Remaining wear life prediction of aviation hydraulic pump based on monitoring abrasive debris generation[D]. Milan:Politecnico di Milano,2020.
[69] LI Tongyang,WANG Shaoping,ZIO E,et al. A numerical approach for predicting the remaining useful life of an aviation hydraulic pump based on monitoring abrasive debris generation[J]. Mechanical Systems and Signal Processing,2020,136:106519.
[70] WANG Xingjian,LIN Sin,WANG Shaoping. Remaining useful life prediction model based on contaminant sensitivity for aviation hydraulic piston pump[C]//2016 IEEE International Conference on Aircraft Utility Systems (AUS). IEEE,2016:266-272.
[71] HAN Lei,ZHAO Xiaojiao. An abrasive wear model between valve plate and cylinder block in axial piston pumps[C]//2018 CSAA/IET International Conference on Aircraft Utility Systems. IEEE,2018:5.
[72] LYU Fei,ZHANG Junhui,SUN Guangming,et al.Research on wear prediction of piston/cylinder pair in axial piston pumps[J]. Wear,2020,456:203338.
[73] LYU Fei,ZHANG Junhui,XU Bing. Wear prediction of piston/cylinder pair in axial piston pump[C]//12th International Fluid Power Conference. Dresden:Technische Universität Dresden,2020:361-367.
[74] ZHANG Junhui,LÜ Fei,XU Bing,et al. Simulation and experimental investigation on low wear rate surface contour of piston/cylinder pair in an axial piston pump[J].Tribology International,2021,162:107127.
[75] XIA Tianxiang,LI Qilin,LU Yueliang,et al. A corrected lundberg-palmgren theory for the bearing fatigue life prediction of the multifunctional valve plate in the aviation piston hydraulic pump[C]//2020 CSAA/IET International Conference on Aircraft Utility Systems.IEEE,2021:726-731.
[76] DU Hongliu,CARLSON D. Fatigue life improvement of the roller swashplate bearing of an axial swashplate type piston pump[C]//Fluid Power Systems Technology.American Society of Mechanical Engineers,2014,45974:V001T01A010.
[77] BAUS I,RAHMFELD R,SCHUMACHER A,et al.Development of methodology for lifetime calculation for axial piston units[C]//2018 Global Fluid Power Society Ph D Symposium (GFPS). IEEE,2018:1-7.
[78] WU Fenghe,TANG Jun,JIANG Zhanpeng,et al. The remaining useful life prediction method of a hydraulic pump under unknown degradation model with limited data[J]. Sensors,2023,23(13):5931.
[79] LI Tongyang,WANG Shaoping,SHI Jian,et al. An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps[J]. Chinese Journal of Aeronautics,2018,31(5):941-948.
[80] WANG Xingjian,LIN Siru,WANG Shaoping,et al.Remaining useful life prediction based on the wiener process for an aviation axial piston pump[J]. Chinese Journal of Aeronautics,2016,29(3):779-788.
[81] HU Wenliang,WANG Shaoping,HE Zhaomin,et al.Prognostic analysis based on updated grey model for axial piston pump[C]//2010 5th IEEE Conference on Industrial Electronics and Applications. IEEE,2010:571-575.
[82] XU Guolei,MA Cunbao,GAO Zehai,et al. Modeling and simulation of aero-hydraulic pump wear failure[C]//2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE,2017:1-7.
[83] 葛薇,王少萍.航空液压泵磨损状况预测[J].北京航空航天大学学报,2011,37(11):1410-1414.GE Wei,WANG Shaoping. Wear condition prediction of hydraulic pump[J]. Journal of Beijing University of Aeronautics and Astronautics,2011,37(11):1410-1414.
[84] LU Chuanqi,WANG Shaoping. Performance degradation prediction based on a Gaussian mixture model and optimized support vector regression for an aviation piston pump[J]. Sensors,2020,20(14):3854.
[85] HE Zhaomin,WANG Shaoping,WANG Kang,et al.Prognostic analysis based on hybrid prediction method for axial piston pump[C]//IEEE International Conference on Industrial Informatics. Piscataway:IEEE,2012:688-692.
[86] LU Chuanqi,WANG Shaoping. Performance degradation prediction based on a Gaussian mixture model and optimized support vector regression for an aviation piston pump[J]. Sensors,2020,20(14):3854.
[87] BRINKSCHULTE L,GEIMER M. Real-time estimation of the remaining lifetime of components[J].ATZoffhighway Worldwide,2017,10:54-60.
[88] RIGBY R. An integral control constant pressure device with built in stabilisation for a variable delivery axial piston hydraulic pump[C]//1st Fluid Power Symposium.British Hydromechanics Research Association,1968.
[89] KIM S,CHO H,LEE C. A parameter sensitivity analysis for the dynamic model of a variable displacement axial piston pump[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,1987,201(4):235-243.
[90] DREYMULLER J. Pilot-operated and directly actuated pressure control with variable delivery axial piston pumps[C]//Proc. 4th International Fluid Power Symposium. 1975:B1-1-B1-B20.
[91] ZEIGER G,AKERS A. Dynamic analysis of an axial piston pump swashplate control[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,1986,200(1):49-58.
[92] ALI H,FALES R. A review of flow control methods[J].International Journal of Dynamics and Control,2021,9(4):1847-1854.
[93] PARK S,LEE J,KIM J. Modeling and performance improvement of the constant power regulator systems in variable displacement axial piston pump[J]. The Scientific World Journal,2013,2013:738260.
[94] BAHR M,SVOBODA J,BHAT R. Vibration analysis of constant power regulated swash plate axial piston pumps[J]. Journal of Sound and Vibration,2003,259(5):1225-1236.
[95] ZEDGENIZOV V,KOKOUROV D,BIRYUKOV D.Mathematical modeling of the axial-piston pump power regulator[C]//Journal of Physics:Conference Series. IOP Publishing,2021,2061(1):012060.
[96] PAN Yang,LI Yibo,LIANG Dedong. The influence of dynamic swash plate vibration on outlet flow ripple in constant power variable-displacement piston pump[J].Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2019,233(14):4914-4933.
[97] ZEDGENIZOV V,KOKOUROV D,BIRYUKOV D.Mathematical modelling of the power regulator by the example of an A11VO axial piston pump (Bosch rexroth)[C]//International Conference on Aviamechanical Engineering and Transport (AviaENT 2019). Atlantis Press,2019:411-414.
[98] BAHR M,SVOBODA J,BHAT R. Vibration analysis of constant power regulated swash plate axial piston pumps[J]. Journal of Sound and Vibration,2003,259(5):1225-1236.
[99] VAIDA L,BANYAI D,ADEGBUYI P,et al. Engineering studies of the control structure of electro-hydraulic pumps and variable axial pistons[J]. International Journal of Scientific and Technology Research,2012,1(8):41-47.
[100] WEI Jianhua,GUO Kai,FANG Jinhui,et al. Nonlinear supply pressure control for a variable displacement axial piston pump[J]. Proceedings of the Institution of Mechanical Engineers,Part I:Journal of Systems and Control Engineering,2015,229(7):614-624.
[101] KHALIL M. Performance investigation of the swash plate axial piston pumps with conical cylinder blocks[D].Montreal:Concordia University,2003.
[102] GAO Youshan,CHENG Jie,HUANG Jiahai,et al.Simulation analysis and experiment of variabledisplacement asymmetric axial piston pump[J]. Applied Sciences,2017,7(4):328.
[103] KIM T,IVANTYSYNOVA M. Active vibration/noise control of axial piston machine using swash plate control[C]//Fluid Power Systems Technology. American Society of Mechanical Engineers, 2017, 58332:V001T01A053.
[104] KIM T,IVANTYSYNOVA M. Active vibration control of swash plate-type axial piston machines with two-weight notch least mean square/filtered-x least mean square (LMS/FxLMS) filters[J]. Energies,2017,10(5):645.
[105] HUANG Xiaochen,XU Bing,HUANG Weidi,et al.Active pressure ripple reduction of a self-supplied variable displacement pump with notch least mean square filter[J]. Micromachines,2021,12(8):932.
[106] HELDUSER S. Electric-hydrostatic drive-An innovative energy-saving power and motion control system[J]. Proceedings of the Institution of Mechanical Engineers, Part I:Journal of Systems and Control Engineering,1999,213(5):427-437.
[107] ZHENG Jianming,ZHAO Shengdun,WEI Shuguo.Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press[J].Control Engineering Practice,2009,17(12):1398-1404.
[108] WANG Aihong,LÜ Zhenfeng,GAO Youshan,et al.Potential energy recovery scheme with variable displacement asymmetric axial piston pump[J].Proceedings of the Institution of Mechanical Engineers,Part I:Journal of Systems and Control Engineering,2020,234(8):875-887.
[109] HUANG Jiahai,YAN Zheng,QUAN Long,et al.Characteristics of delivery pressure in the axial piston pump with combination of variable displacement and variable speed[J]. Proceedings of the Institution of Mechanical Engineers,Part I:Journal of Systems and Control Engineering,2015,229(7):599-613.
[110] CHAO Qun, ZHANG Junhui, XU Bing, et al.Load-sensing pump design to reduce heat generation of electro-hydrostatic actuator systems[J]. Energies,2018,11(9):2266.
[111] WANG Yan,WANG Mingkang,FU Jian,et al. Adaptive control of an aerospace electrohydrostatic actuator with a constant-torque variable-displacement pump[J]. Journal of Aerospace Engineering,2022,35(3):04022028.