Effect of Multi-Objective Control on Ride Quality in High Speed Railway Vehicle

Türkay, Semiha; Leblebici, Aslı Soyiç

doi:10.1016/j.ifacol.2016.07.046

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…Afterwards, they utilized piezoelectric actuators and appropriate sensors in their suspension system and proved that their decentralized control could effectively reduce vibration of both flexible and rigid modes. Türkay and Leblebici 41 numerically investigated the effects of random rail input on HSTs and minimized vertical and pitch acceleration of the rail vehicle using an active suspension based on LQG control. These researchers predicted a temporal correlation between the front and rear wheels using a second-order Pade filter and underlined that the use of the Kalman filter could enhance suspension performance.…”

Section: Issues Directly Related To Train’s Vibration Controlmentioning

confidence: 99%

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Zhang

Kordestani

Shadabfar

2022

Journal of Low Frequency Noise, Vibration and Active Control

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People use trains as a means of transportation to travel to various nearby and distant destinations, resulting in an increasing amount of time spent inside such vehicles. Consequently, railway transportation sectors are focusing significantly more on enhancing passengers’ demand and level of satisfaction, including but not limited to high-speed travel, safety, and riding comfort. This paper provides a state-of-the-art review of available solutions for reducing undesired vibrations that have a substantial impact on improving the critical velocity limits of trains, maintaining the quality of riding comfort, and resolving safety concerns. In this regard, the solutions proposed for train vibration control are divided into two main categories: direct and indirect solutions. The direct solutions are those methods that are applied directly to trains’ bodies or bogies to attenuate the undesired vibrations, for example, improving the suspension/damper system, implementing active/semi-active control strategies, or applying various carriage optimization design modifications. Indirect solutions, on the other hand, are those that could indirectly affect trains’ vibrations, for example, controlling vibrations in railway bridge structures during train passages. Since the identification of vibration characteristics is assumed to be the first step in choosing proper solutions, particularly for active or semi-active control implementations, this review has examined the literature pertinent to modal identification of trains and railway infrastructures. Additionally, despite the installation of dampers between the bogie and suspension, the train’s equation of motion, and consequently, the vibration control of the bogie, has relied on the sky-hook model for decades. The fundamental problem for systems whose control strategies are based on the sky-hook concept is that the ‘sky’ does not actually exist. A solution to solve the sky-hook logic issue is using tuned rotatory inertia dampers and active rotatory inertia drivers which is addressed in this paper as well. Finally, it is concluded that these three solutions – employing a suspension/damper system in the bogie, an elastic connection for the train’s under-chassis-suspended equipment, and a ballastless railway – can practically mitigate vibration and noise in a train.

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Section: Issues Directly Related To Train’s Vibration Controlmentioning

confidence: 99%

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Zhang

Kordestani

Shadabfar

2022

Journal of Low Frequency Noise, Vibration and Active Control

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“…The high-speed train motion model is a kind of complex dynamic system with strong disturbance and high nonlinearity [20]. The key problem is to design a highprecision speed tracking fault-tolerant controller for different operating environments, and automatically control the traction and braking of the train in real time, so as to realize the accurate tracking for a given target speed.…”

Section: Dynamic Model Of Hsts With Actuator Faults Under Strong Wind Conditionsmentioning

confidence: 99%

Adaptive Fault-Tolerant Sliding Mode Control for High-Speed Trains With Actuator Faults Under Strong Winds

Zhang

Kong

2020

IEEE Access

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This paper addresses the fault-tolerant control problem for high-speed trains (HSTs) with actuator faults under strong winds. For the healthy system, a non-singular fast terminal sliding mode surface is introduced into the controller, which ensures the system fast converge to the equilibrium point with finite time, and the radial basis function neural network (RBFNN) with the adaptive compensation term of the error is used to approximate the unknown nonlinear disturbances of the train system in strong winds and predict the time delay generated in the train communication network. Through the RBFNN observer established specifically for actuator failures, the real effective factors are identified. Combining with the identified effective factors and predicted time delay, an adaptive fault-tolerant sliding mode control method is established for train systems. With dynamic parameters and position update strategy guided by negative gradient thought, an improved particle swarm optimization algorithm is proposed to optimize the uncertain parameters of control method, which weakens the chattering phenomenon from the sliding mode controller and improves the control accuracy. Simulation results show that the proposed method has better tracking performance and real-time performance compared with other fault-tolerant control methods under various operating conditions, which ensures the running safety of HSTs under different strong winds.

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