A sliding mode anti-disturbance control method is proposed to solve the problem of chattering during volume switching in the application of sliding mode control in the pressure pulse testing system. The pressure pulse testing system is reduced and simplified by applying singular perturbation theory
facilitating the design and application of the controller. Based on the reduced-order model of the system
an extended state observer is constructed to estimate unknown disturbances such as uncertain parameters in the system and volume switching of the workpiece. The estimated disturbance values are then used as feedforward signals to compensate the sliding mode controller
thereby reducing the upper bound of disturbance uncertainty
thus achieving the goal of reducing the switching gain to mitigate chattering. The stability of the proposed control method is derived and demonstrated through the selection of an appropriate Lyapunov function. Simulation analysis is conducted using a joint simulation platform built with AMESim and Matlab/Simulink
and experimental verification is performed using the pressure pulse testing platform. The research results indicate that in terms of overall tracking performance
traditional sliding mode control has improved by 21.10% compared to PID
while the proposed control method has improved by 30.86% compared to PID. The proposed control method can effectively estimate and compensate for unknown disturbances
achieve smaller switching gains while maintaining control accuracy. During the volume switching of workpiece
it effectively reduces sliding mode chattering
enhancing the system's anti-disturbance capability.
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references
MUKKAMALA Y. Contemporary trends in thermo-hydraulic testing and modeling of automotive radiators deploying nano-coolants and aerodynamically efficient air-side fins [J]. Renewable and Sustainable Energy Reviews, 2017, 76: 1208-1229.
BARGAL M H S, ABDELKAREEM M A A, WANG Yiping. Parametric sensitivity analysis of automobile radiator performance [C]//IOP Conference Series: Materials Science and Engineering. Bristol, United Kingdom: IOP Publishing, 2019: 042038.
KUMAR A, PRASAD P S, RAO M R. Experimental studies of water hammer in propellant feed system of reaction control system [J]. Propulsion and Power Research, 2018, 7(1): 52-59.
WU Xiaoming, ZHANG Xiaoming. The design and research on electro-hydraulic pressure servo-control system for a high pressure hose pulse test machine [J]. Chinese Hydraulics Pneumatics, 2015, 39(7): 111-115.
COSKUN M Y, ITIK M. Intelligent PID control of an industrial electro-hydraulic system [J]. ISA Transactions, 2023, 139: 484-498.
LI Zhengwei, ZHANG Xiaoming, LI Jinbao, et al. Application of repetitive control algorithm in pulse testing machine [J]. Mining Processing Equipment, 2019, 47(11): 61-64.
WANG Yun, LI Jie, SONG Xiaowen, et al. Repetitive control for the improvement of pressure tracking in fatigue test machine [C]//2010 International Conference on Electrical and Control Engineering. Piscataway, NJ, USA: IEEE, 2010: 5443-5446.
TONY THOMAS A, PARAMESHWARAN R, SATHIYAVATHI S, et al. Improved position tracking performance of electro hydraulic actuator using PID and sliding mode controller [J]. IETE Journal of Research, 2022, 68(3): 1683-1695.
ZHAO Zhiguo, LI Mengna, WANG Chen, et al. Dynamic modeling of brake in power-split DHT and pressure tracking control with sliding mode variable structure method [J]. International Journal of Automotive Technology, 2019, 20(3): 521-530.
LI Yan, SUN Rui, XIA Yu, et al. A sliding mode control method with improved rapid power approximation law [J]. Journal of Xi'an Jiaotong University, 2022, 56(12): 118-126.
ZHAO Feng, LUO Wen, GAO Fengyang, et al. An improved sliding mode control for PMSM considering sliding mode chattering and disturbance compensation [J]. Journal of Xi'an Jiaotong University, 2020, 54(6): 28-35.
金坤善, 宋建丽, 李永堂, 等. 四辊卷板机侧辊位移线性自抗扰控制 [J]. 机械工程学报, 2019, 55(24): 72-82.JIN Kunshan, SONG Jianli, LI Yongtang, et al. Linear active disturbance rejection control for the side roller displacement of four-roller plate bending machine [J]. Journal of Mechanical Engineering, 2019, 55(24): 72-82.
FANG Jingquan, DENG Wenxiang, YAO Jianyong, et al. A fast adaptive disturbance rejection control for motor servo systems [J]. Journal of Xi'an Jiaotong University, 2021, 55(6): 44-52.
WANG Chengwen, QUAN Long, ZHANG Shijie, et al. Reduced-order model based active disturbance rejection control of hydraulic servo system with singular value perturbation theory [J]. ISA Transactions, 2017, 67: 455-465.
MERRITT H E. Hydraulic control systems [M]. New York, USA: Wiley, 1967: 145-148.
WANG Chengwen, JI Xinhao, ZHANG Zhenyang, et al. Tracking differentiator based back-stepping control for valve-controlled hydraulic actuator system [J]. ISA Transactions, 2022, 119: 208-220.
MOHANTY A, YAO Bin. Indirect adaptive robust control of hydraulic manipulators with accurate parameter estimates [J]. IEEE Transactions on Control Systems Technology, 2011, 19(3): 567-575.
韩京清. 自抗扰控制技术 [M]. 北京: 国防工业出版社, 2008: 183-184.
KHALIL H K. Nonlinear systems [M]. 2nd ed. Upper Saddle River, NJ, USA: Prentice Hall, 1996: 423-460.
WANG Chengwen, QUAN Long, JIAO Zongxia, et al. Nonlinear adaptive control of hydraulic system with observing and compensating mismatching uncertainties [J]. IEEE Transactions on Control Systems Technology, 2018, 26(3): 927-938.
IOANNOU P A, SUN Jing. Robust adaptive control [M]. Upper Saddle River, NJ, USA: PTR Prentice-Hall, 1996: 75-76.
SPONG M W, HUTCHINSON S, VIDYASAGAR M. Robot modeling and control [M]. 2nd ed. Hoboken, USA: John Wiley Sons, Inc., 2020: 323-325.