Vibration control of a semi-active railway vehicle suspension with magneto-rheological dampers

Oh, Jong-Seok; Shin, Yujeong; Koo, Hyung-Wook; Kim, Hwan-Choong; Park, Jinhyuk; Choi, Seung–Bok

doi:10.1177/1687814016643638

Cited by 45 publications

(28 citation statements)

References 19 publications

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“…The amplitude ratio for any two successive amplitudes could be represented as Equation (12) by using Equations (10) and (11). Therefore, the amplitude ratio x 1 /x i and the logarithmic decrement δ when the vibration has repeated for i cycles are given by Equation (13). However, because the equilibrium position of the measured oscillatory waveform in the vibration experiments was difficult to be read off, therefore, a 1 , a 2 , .…”

Section: Methodsmentioning

confidence: 99%

“…Elements and actuators that are used in the devices have a profound effect on the compliance and lightness of the whole device. These include springs, pneumatic artificial muscles (PAMs) [1][2][3][4][5][6][7][8][9][10][11], magnetorheological (MR) dampers [12][13][14], shape memory alloys (SMAs) [15][16][17], soft pneumatic actuators (SPAs) [18], and dielectric elastomer actuators (DEAs) [19]. Research and development of these components and devices that employ them are widely conducted.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the Effect of a Mechanism Combined with a Speed-Increasing Gear and a Pneumatic Artificial Muscle

Sekine

Kokubun

2018

Actuators

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Abstract:The lightness and softness of pneumatic artificial muscles (PAMs) contribute to their safe use in mechanical devices involved with humans. However, a PAM has limited range of motion (ROM) and a stroke-dependent output force. In this paper, a mechanism combined with a PAM and a speed-increasing gear was developed to improve the tradeoff relationship between the ROM and output force and to verify its benefits in order to enhance the convenience of using PAMs. The gear enhanced the ROM and back-drivability of the PAM, which is beneficial for device safety in daily use. We first designed a mechanism consisting of an antagonistic system-driven PAM and the gear, and then simulated the relationship between the ROM and output force of the mechanism. The effectiveness of the mechanism including the gear was compared with a non-gear mechanism with multiple PAMs. We prototyped the PAM mechanism with and without the gear, and their ROMs, impact absorption, and viscoelasticity were experimentally investigated. Results showed that the gear effectively improved both ROM and output torque below a certain load; moreover, the gear ratio and air pressure had large effects on the external static and dynamic forces, respectively. We confirmed comprehensively the effect and feasibility of the mechanism.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of a Mechanism Combined with a Speed-Increasing Gear and a Pneumatic Artificial Muscle

Sekine

Kokubun

2018

Actuators

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“…Since the 1970s, semiactive suspensions have attracted much attention, and some controllable dampers, including electrorheological (ER) dampers and magnetorheological (MR) dampers, have been available for use in semiactive suspensions of railway vehicles [13][14][15]. Many semiactive control strategies based on measured signals, such as skyhook (SH) [16], ground-hook (GH) [17], acceleration-driven damping (ADD) [18], and hybrid control [19], have begun to be used in simulations and research tools.…”

Section: Semiactive Suspension Systems For Railway Vehiclesmentioning

confidence: 99%

Semiactive Control of High‐Speed Railway Vehicle Suspension Systems with Magnetorheological Dampers

Liao

Liu

Yang

2019

Shock and Vibration

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Using the magnetorheological (MR) damper model, this paper derives a semiactive suspension model for a high-speed railway vehicle, and a new evaluating method is proposed to analyze the effect of two kinds of time delay existing in control systems on vehicle dynamic performance. The railway vehicle is modeled by a 50 degree-of-freedom (DOF) system which considers the full 6 DOF of each wheelset, bogie, car body, and the pitch angle of each axle box. Several control strategies, sky-hook (SH), acceleration-driven damping (ADD), and mixed SH-ADD, are considered in the semiactive suspension system. To evaluate the effect of these semiactive controls and the different kinds of time delay on the lateral ride index of a high-speed railway vehicle, a 3D surface in a rectangular coordinate system is described. The cross curve between the 3D surface and a horizontal plane which represents the performance of passive suspension is projected on the X-Y plane, and the area enclosed by the contour line, X-axis, and Y-axis can be used to evaluate the performance of semiactive controls. The results show that the new method is convenient to evaluate the performance of semiactive control strategies visually when there is more than one kind of time delay.

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“…Over the years, researchers have employed several approaches ranging from classic to advance systems to control the suspension system in order to minimize the effect of vibrations. Such approaches include the use of proportional-integralderivative (PID) control, Fuzzy PID, Linear Quadratic Regulator vibration controller, Adaptive Neuro-Fuzzy Inference System control and magnetorheological dampers, amongst others [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis and Control in the Rail Car System Using PID Controls

Daniyan¹,

Mpofu²

2019

Noise and Vibration Control - From Theory to Practice

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The PID classic control systems are often employed for rail car systems to reduce the vibrations and disturbance rate during movement. In this study, the dynamic modeling and simulation of PID controls for rail car systems were carried out. Using 9 degrees of freedom, the modeling process comprises the representation of the rail car system and the rail track followed by the generation of equations of motion as well as differential equations for the rail car body, wheel sets and bogie. The represented systems are simulated in the MATLAB Simulink 2018 environment based on the equations of motion generated, and subsequently vibration analysis was carried out. The PID control system tuned according to the Nichols-Ziegler rule was introduced to minimize the vibrations and disturbance rate. The performance of the control and the rail car system in terms of the input step response, bandwidth, frequency, phase margin, frequency and input and output rejections was evaluated. The control system demonstrated significant robustness in providing the required active control for the system, while there was improved stability and reduction in noise and vibration under control action of the PID, thus improving ride comfort.

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Vibration control of a semi-active railway vehicle suspension with magneto-rheological dampers

Cited by 45 publications

References 19 publications

Investigating the Effect of a Mechanism Combined with a Speed-Increasing Gear and a Pneumatic Artificial Muscle

Investigating the Effect of a Mechanism Combined with a Speed-Increasing Gear and a Pneumatic Artificial Muscle

Semiactive Control of High‐Speed Railway Vehicle Suspension Systems with Magnetorheological Dampers

Vibration Analysis and Control in the Rail Car System Using PID Controls

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