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Open AccessArticle
Prediction and Dynamic Simulation Verification of Output Characteristics of Radial Piston Motors Based on Neural Networks
by
Chunjin Li
Chunjin Li *,
Zhengwen Xia
Zhengwen Xia and
Yongjie Tang
Yongjie Tang
School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China
*
Author to whom correspondence should be addressed.
Machines 2024, 12(7), 491; https://doi.org/10.3390/machines12070491 (registering DOI)
Submission received: 17 June 2024
/
Revised: 9 July 2024
/
Accepted: 19 July 2024
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Published: 20 July 2024
Abstract
Radial piston motors are executive components in hydraulic systems, tasked with providing appropriate torque and speed according to load requirements in practical applications. The purpose of this study is to predict the output torque of radial piston hydraulic motors and confirm their suitable operating conditions. Efficiency determination experiments were conducted on physical models, yielding thirty sets of performance data. Torque (output torque) and mechanical efficiency from the experimental data were selected as prediction targets and fitted using two methods: multiple linear regression and neural networks. A dynamic simulation model was built using Adams2020 software to obtain theoretical torque values, enabling the verification of the alignment between the predicted values and simulation results. The results indicate that the error between the theoretical torque of the dynamic model and the physical experiments is 1.9%, with the error of the neural network predictions being within 2%. The dynamic simulation model can yield highly accurate theoretical torque values, providing a reference for the external load of hydraulic motors; additionally, neural networks offer accurate predictions of output torque, thus reducing experimental testing costs.
Share and Cite
MDPI and ACS Style
Li, C.; Xia, Z.; Tang, Y.
Prediction and Dynamic Simulation Verification of Output Characteristics of Radial Piston Motors Based on Neural Networks. Machines 2024, 12, 491.
https://doi.org/10.3390/machines12070491
AMA Style
Li C, Xia Z, Tang Y.
Prediction and Dynamic Simulation Verification of Output Characteristics of Radial Piston Motors Based on Neural Networks. Machines. 2024; 12(7):491.
https://doi.org/10.3390/machines12070491
Chicago/Turabian Style
Li, Chunjin, Zhengwen Xia, and Yongjie Tang.
2024. "Prediction and Dynamic Simulation Verification of Output Characteristics of Radial Piston Motors Based on Neural Networks" Machines 12, no. 7: 491.
https://doi.org/10.3390/machines12070491
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