Robust Semi-Active Ride Control under Stochastic Excitation

Abstract

Ride control of military vehicles is challenging due to varied terrain and mission requirements such as operating weight. Achieving top speeds on rough terrain is typically considered a key performance parameter, which is always constrained by ride discomfort. Many military vehicles using passive suspensions suffer with compromised performance due to single tuning solution. To further stretch the performance domain to achieving higher speeds on rough roads, semi-active suspensions may offer a wide range of damping possibilities under varying conditions. In this paper, various semi-active control strategies are examined, and improvements have been made, particularly, to the acceleration-driven damper (ADD) strategy to make the approach more robust for varying operating conditions. A seven degrees of freedom ride model and a quarter-car model were developed that were excited by a random road process input modeled using an auto-regressive time series model. The proposed strategy shows promise as a cost-effective solution to improve the ride of a military vehicle over multiple stochastic terrains considering variation in operating weight.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA602201

Entities

People

  • Amandeep Singh

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Control Systems
  • Data Science
  • Engineering
  • Equations
  • Equations Of Motion
  • Excitation
  • Frequency
  • Information Science
  • Law
  • Materials Science
  • Military Vehicles
  • Random Variables
  • Simulations
  • Test And Evaluation
  • Vehicles
  • White Noise

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Robotics and Automation.