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Active Optimal Roll Control of Railway Vehicles in Curved Tracks Using an Electrically Actuated Anti-roll Bar System

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  • Control Theory and Applications
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Abstract

Active tilting control is now one of the technologies utilized widely in high-speed railway vehicles. This paper tries to decrease the lateral acceleration on passengers (caused by high-speed motion in a curve) using an electrical anti-roll bar (ARB) that provides a limited amount of carbody tilt. A dynamic model is employed for a modern railway vehicle with its active anti-roll bar (AARB). Moreover, an attempt is made to design three control approaches of Kalman filter-based Model Predictive Control, Linear Quadratic Gaussian servo control, and proportional-integral regulator in such a way to be robust against noise and simultaneously improve ride comfort and vehicle dynamic performance. The active anti-roll bar acts as an actuator with a brushless DC (BLDC) motor, permitting active tilt control. Finally, the performance of the tilting vehicle and electric actuation system employing different control structures is assessed based on numerical simulations. Furthermore, a helpful comparison is drawn between the optimal and other simulated control approaches concerning ride comfort. The simulation results reveal better competency of Kalman filter-based Model Predictive Control in achieving the reference pursuit plus noise canceling and improving ride comfort.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Isfahan University of Technology, University Boulevard, Esteghlal Square, Isfahan, Iran

    Benyamin Anafjeh, Hassan Moosavi & Mohammad Danesh

Authors
  1. Benyamin Anafjeh
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  2. Hassan Moosavi
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  3. Mohammad Danesh
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Correspondence to Mohammad Danesh.

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Conflict of Interests

The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

Benyamin Anafjeh received his B.S. degree in mechanical engineering from Golpayegan University of Technology, Isfahan, Iran. He received his M.Sc. degree in dynamic and control engineering from the Isfahan University of Technology in 2017. His research interests include control system, robotics, vehicle dynamics & control, multi-rotor drone aircraft control, and estimation theory.

Hassan Moosavi revived his Ph.D. degree in the field of designing and heat transfer from the Mechanical Department of Wichita State University, USA, in May 1990. He is an Associate Professor at Mechanical Engineering Department of Isfahan University of Technology, Iran. His main interested fields are optimization methods, dynamic & robotics, design optimization, metal forming, and thermal mechanics. He has published a book in the area of finite element method and simulation.

Mohammad Danesh received his B.S., M.S., and Ph.D. degrees in control engineering in 1997, 1999, and 2007, respectively, all from Isfahan University of Technology (IUT), Isfahan, Iran. Currently, he is an Associate Professor at the Department of Mechanical Engineering, IUT. His research interests include robotic systems (control, guidance, and navigation), control and stability analysis of dynamical systems, active vibration and acoustic control, and mechatronics.

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Anafjeh, B., Moosavi, H. & Danesh, M. Active Optimal Roll Control of Railway Vehicles in Curved Tracks Using an Electrically Actuated Anti-roll Bar System. Int. J. Control Autom. Syst. 21, 1127–1142 (2023). https://doi.org/10.1007/s12555-021-1095-8

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  • DOI: https://doi.org/10.1007/s12555-021-1095-8

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