LAPSE:2023.2413
Published Article
LAPSE:2023.2413
Constant Speed Control of Hydraulic Travel System Based on Neural Network Algorithm
Haoyun Ye, Xiangdong Ni, Huajun Chen, Daolin Li, Wenlong Pan
February 21, 2023
Abstract
In order to solve the problems of poor stability of the output speed and poor synchronization of the pump-controlled dual motor in a hydraulic travel system during step input speed and external load disturbance, different control strategies were designed and compared with the state machine using the statechart module control, Z-N frequency response PID control, and GA-based PID parameter self-tuning methods. Our analysis shows that the BP algorithm-based PID parameter self-tuning control method has no overshoot and that the three methods reduced the target speed tracking time by 90.11%, 75.12% and 36.55%, respectively. The average synchronous error for the system output speed was 7.95%. The stability and synchronization requirements of the constant speed of the hydraulic travel system were satisfied. These research results can provide a reference for the design and application of constant speed control for pump-controlled dual-motor hydraulic travel systems in the fields of engineering and agricultural machinery.
Keywords
hydraulic travel system, neural network algorithm, speed control, synchronous control
Suggested Citation
Ye H, Ni X, Chen H, Li D, Pan W. Constant Speed Control of Hydraulic Travel System Based on Neural Network Algorithm. (2023). LAPSE:2023.2413
Author Affiliations
Ye H: College of Mechanical and Electrical Engineering, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832003, China [ORCID]
Ni X: College of Mechanical and Electrical Engineering, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832003, China
Chen H: College of Mechanical and Electrical Engineering, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832003, China [ORCID]
Li D: College of Mechanical and Electrical Engineering, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832003, China
Pan W: College of Mechanical and Electrical Engineering, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832003, China
Journal Name
Processes
Volume
10
Issue
5
First Page
944
Year
2022
Publication Date
2022-05-10
ISSN
2227-9717
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PII: pr10050944, Publication Type: Journal Article
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LAPSE:2023.2413
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https://doi.org/10.3390/pr10050944
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