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Model Predictive Control Based Kalman Filter for Active Suspension Design of Light Rail Vehicles


Zaiful Ulum and S. Nur Aini
Abstract

The design of active suspension of light rail vehicles (LRVs) by means model predictive control (MPC)based Kalman filter is provided.The aims of control design are to minimize the vertical acceleration of carbodies and to keep the deflection of suspensions within the admissible range in order to provide safety and comfort in riding respect to road disturbance.A multibody dynamical model of the tree-car train set isconsidered to investigate the performance of proposedcontroller.Numerical simulations are performed to verify the performance of proposed controller. Simulation results show that the proposed design is able to provide safety and comfort in riding.

Volume 12 | 03-Special Issue

Pages: 261-267

DOI: 10.5373/JARDCS/V12SP3/20201261