Proceedings of International Conference on Applied Innovation in IT  ·  2026/07/22  ·  Vol. 14  ·  Issue 4  ·  pp. 1287–1294
Automated Data Acquisition and Statistical Analysis of Hydraulic Steering Systems Using Python and Arduino
Abdulaziz Shermukhamedov, Nurillo Ergashev, Yusufbek Shermukhamedov and Frimpong Justice Alex
This article discusses a comprehensive experimental study of the operational characteristics of the tractor prototype, with particular emphasis on the performance of its hydraulic steering system. The primary objective is to evaluate vehicle efficiency, directional stability, and dynamic response under a broad spectrum of operating conditions. Experimental measurements were conducted to quantify key steering parameters, including hydraulic pressure, flow rate, steering torque, and response time, as functions of engine speed and road surface characteristics. The influence of varying operating modes on steering behaviour was systematically analyzed to elucidate the coupling between vehicle dynamics and hydraulic control processes. The results demonstrate that changes in engine rotational speed and surface conditions significantly affect system load distribution and steering responsiveness. Nonlinear relationships between hydraulic parameters and vehicle operating states were identified, highlighting the complex interaction between mechanical and hydraulic subsystems. Statistical processing of the experimental data, combined with theoretical modeling, was employed to validate measurement reliability and ensure consistency of the obtained results. The findings provide valuable insights into the dynamic performance of hydraulic steering mechanisms and offer practical recommendations for improving design parameters, optimizing control strategies, and enhancing operational reliability. The outcomes of this research contribute to ongoing advancements in steering system development, supporting increased operational efficiency, reliability, and durability in practical applications. Future work may focus on integrating intelligent sensing technologies, predictive diagnostics, and real-time control strategies to further enhance steering precision and adaptability in next-generation vehicles.
Hydraulic Steering Vehicle Dynamics Steering Control System Modelling Experimental Analysis Dynamic Testing Field Testing Stability Assessment
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