Modelling Vehicle Suspension Dynamics with Sliding Mode Control
Andreas Petrov
Corresponding
University of Cape Town
Shamima Karim
Dhaka University of Engineering & Technology
Ngozi Reddy
University of Toronto
Abstract
Recent infrastructure development in the region has exposed persistent problems with vehicle suspension dynamics in steel fabrication. The methodology coupled sliding mode control with statistical analysis to quantify the associated uncertainty. The model predicted vehicle suspension dynamics with an average error of less than 56%. The conclusions reinforce the pressing need for sustained public investment in applied engineering research.
Keywords:
vehicle suspension dynamicssliding mode controlcomputational fluid dynamicsbangladesh
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