Comparison of Performance Effectiveness of Linear Control Algorithms Developed for a Simplified Ground Vehicle Suspension System

Abstract

This report documents our evaluation of the effectiveness of active control algorithms in a simulation environment. Each control algorithm was applied to an identical model subjected to the same disturbance input and compared to a baseline passive suspension system and each other algorithm. The control algorithms considered include a Generalized Predictive Controller (GPC) with Implicit Disturbances, GPC with Explicit Disturbances, Linear Quadratic Controller (LQR) and LQR with Preview Control. The suspension model used was a two-degree-of-freedom (2 DOF) quarter car with two sets of vehicle parameters.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2011
Accession Number
ADA543109

Entities

People

  • Dy Le
  • Jason Pusey
  • Muthuvel Murugan
  • Ross Brown

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Closed Loop Systems
  • Control Systems
  • Differential Equations
  • Equations
  • Frequency
  • Ground Vehicles
  • Military Research
  • Regulators
  • Resonant Frequency
  • Riccati Equation
  • Simulations
  • Test And Evaluation
  • Tilt Rotor Aircraft
  • Time
  • Vehicles
  • White Noise

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Government Contracting/Procurement.