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The University of Southampton
Engineering

Ride performance of a high-speed rail vehicle using controlled semi active suspension system Seminar

Time:
16:00 - 17:00
Date:
22 February 2022
Venue:
Microsoft Teams meeting

For more information regarding this seminar, please email Vanui Mardanyan at isvr@southampton.ac.uk .

Event details

Ride performance of a high-speed rail vehicle using controlled semi active suspension system

The work is based on existing railway vehicle which was modelled as a full-scale system considering vertical, lateral, pitch, yaw and roll motions of the car body, bogies and wheelsets. Moreover, nonlinear stiffness and damping functions of passive suspension systems are extracted from experimental data. In order to improve the ride quality of the rail vehicle, a magnetorheological damper is integrated into the secondary lateral and vertical suspension system. Parameters of the magnetorheological damper depend on current, amplitude and frequency of excitations.

Four types of analyses are performed with

  • (1) conventional passive lateral damper,
  • (2) semi-active low,
  • (3) semi-active high and
  • (4) semi-active controlled MR damper in the secondary suspension.

Disturbance rejection and force-tracking damper controller algorithms were applied to control the desired force to reduce the vibration. The outcome shows that the proposed semi-active suspension system improves the vibration attenuation and ride quality of the vehicle.

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Phone Conference ID: 394 833 004#

Speaker : Dr Sunil Kumar Sharma

Dr Sunil Kumar Sharma is an Assistant professor & Assistant Program Director of the Engineering and Applied Science department. He did his post-doctoral research at C. N. University, South Korea and received his PhD in rail vehicle dynamics from the Indian Institute of Technology, Roorkee. His research interests are vehicle dynamics, contact mechanics, mechatronics, real-time and software-enabled control systems for a high-speed rail vehicle. In 2021, Dr Sharma is also featured among the top 2% of scientists in a global list compiled by Stanford University, USA.

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