Adaptive Control Validation Using a MATLAB-Based CFD/RBD Coupled Simulation

Abstract

A new high-fidelity coupled computational fluid dynamics (CFD)/rigid body dynamics (RBD) simulation was built with several novel features aimed at validating adaptive control laws on a high-speed missile. First, the MATLAB programming language was used to implement the RBD and control laws, making the environment user-friendly for a wide community of control engineers. Second, the simulation provides for hundreds of dynamic states allowing for actuator dynamics, reference models, adaptive gains, reference signal integrators, and so forth. Third, numerical integration is performed using a multistep Adams Moulton method such that force-moment information from prior time steps is included to smooth the predictions. With this new simulation, we demonstrate regulation and tracking control for a supersonic projectile using model reference adaptive control. The adaptive feedback law is shown to provide superior stability and tracking performance in the presence of significant modelling errors, thus achieving specified performance while reducing the precision required in gain scheduling.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2022
Accession Number
AD1167349

Entities

People

  • Benjamin Gruenwald
  • Bradley T. Burchett
  • Jubaraj Sahu

Organizations

  • United States Army

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamics
  • Aircrafts
  • Cartesian Coordinates
  • Computational Fluid Dynamics
  • Computations
  • Computer Programs
  • Control Systems
  • Control Systems Engineering
  • Differential Equations
  • Equations
  • Flight Control Systems
  • Fluid Dynamics
  • Fluid Flow
  • Guided Projectiles
  • Mechanical Properties
  • Military Research
  • Reliability
  • Sea Level
  • Simulations
  • Speed Regulators
  • Three Dimensional
  • Unsteady Aerodynamics

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Computer Engineering
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)

Technology Areas

  • Hypersonics