Steering Dynamic and Hybrid Steering Control of a Novel Micro-Autonomous Railway Inspection Car

This paper aims to present a hybrid steering control method combining the self-guidance capability of a wheelset and fuzzy logic controller (FLC), which were applied to our new micro-autonomous railway inspection vehicle, enhancing the vehicle’s stability. The vehicle features intelligent inspection systems and a suspension system with variable damping capability that uses smart magnetorheological fluid to control vertical oscillations. A mathematical model of the steering dynamic system was developed based on the vehicle’s unique structure. Two simulation models of the vehicle were built on Simpack and Simulink to evaluate the lateral dynamic capability of the wheelset, applying Hertzian normal theory and Kalker’s linear theory. The hybrid steering control was designed to adjust the torque differential of the two front-wheel drive motors of the vehicle to keep the vehicle centered on the track during operation. The control simulation results show that this hybrid control system has better performance than an uncontrolled vehicle, effectively keeps the car on the track centerline with deviation below 10% under working conditions, and takes advantage of the natural self-guiding force of the wheelset. In conclusion, the proposed hybrid steering system controller demonstrates stable and efficient operation and meets the working requirements of intelligent track inspection systems installed on vehicles.

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Publication Details

Journal
Applied Sciences
Published
2025-04-02
DOI
https://doi.org/10.3390/app15073891
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Steering Dynamic and Hybrid Steering Control of a Novel Micro-Autonomous Railway Inspection Car

Yaojung Shiao, Thi Ngoc Hang Thai
Applied Sciences
Railway Engineering and Dynamics
article

Steering Dynamic and Hybrid Steering Control of a Novel Micro-Autonomous Railway Inspection Car

Yaojung Shiao, Thi Ngoc Hang Thai
article en

Abstract

This paper aims to present a hybrid steering control method combining the self-guidance capability of a wheelset and fuzzy logic controller (FLC), which were applied to our new micro-autonomous railway inspection vehicle, enhancing the vehicle’s stability. The vehicle features intelligent inspection systems and a suspension system with variable damping capability that uses smart magnetorheological fluid to control vertical oscillations. A mathematical model of the steering dynamic system was developed based on the vehicle’s unique structure. Two simulation models of the vehicle were built on Simpack and Simulink to evaluate the lateral dynamic capability of the wheelset, applying Hertzian normal theory and Kalker’s linear theory. The hybrid steering control was designed to adjust the torque differential of the two front-wheel drive motors of the vehicle to keep the vehicle centered on the track during operation. The control simulation results show that this hybrid control system has better performance than an uncontrolled vehicle, effectively keeps the car on the track centerline with deviation below 10% under working conditions, and takes advantage of the natural self-guiding force of the wheelset. In conclusion, the proposed hybrid steering system controller demonstrates stable and efficient operation and meets the working requirements of intelligent track inspection systems installed on vehicles.

Applied SciencesVol. 15(7)
National Taipei University of Technology (TW), University of Da Nang (VN)
Ministry of Science and Technology, Taiwan
Openalex Percentile: Top 94%
Railway Engineering and Dynamics
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