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CSME 2024/06
Volume 45 No.3
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253-262
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Design and Control System Research of Hydraulic Pressure Test Bench
Xu Fanga, Youmin Wang and Lili Zhanga
aStudent, School of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China.
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Abstract:
For the existing hydraulic pressure servo system test bench overall performance is poor. This paper takes the hydraulic pressure servo valve-controlled symmetric hydraulic cylinder closed-loop force control system as the research object. The design of the hydraulic control system and the calculation and selection of hydraulic components are completed. It is proposed to take the error force between the input and output of the system as the optimization objective to obtain the global optimal working pressure of the hydraulic system. To improve the accuracy of the system model, it is proposed to take the system response overshooting amount as the evaluation index. The design of the orthogonal test is analyzed to obtain the flow gain coefficient and stiffness damping ratio as the important parameters to be identified to affect the model accuracy. Based on Matlab, the system mathematical model is obtained by using least squares to identify the parameters. For the unsatisfactory effect of PID control, a BP-PID controller is designed. The adjustment time of the system is 0.02s, which is 96% higher than that of the traditional PID control, as obtained through simulation. It is verified through experiments that ui, u , u , u are used as input signals. The BP-PID control system can output the optimal PID control parameters under this condition through the adjustment of the weights of each layer by the neural network. Realize the adaptive control of the hydraulic pressure servo control system.
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Keywords: parameter identification, system operating pressure, control method, neural network
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*Corresponding author; e-mail:
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©
2024
CSME , ISSN 0257-9731
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