Optimal Guidance Command Generation and Tracking for the Reentry of a Reusable Launch Vehicle (PREPRINT)

Abstract

In this work, optimal outer-loop guidance commands are generated from an off-line reference trajectory and then tracked by a reconfigurable inner-loop control law. The primary motivation for this work is a "stepping-stone" towards online, optimal trajectory generation, footprint determination, and retargeting capabilities in the presence of control effector failures or vehicle structural/ aerodynamic degradation, uncertainty, and external disturbances. The presented guidance and control architecture uses a 6-degree-of-freedom simulation and an inner-loop controller to track body-name angular rates (roll, pitch, and yaw), generated from an optimal psuedo-4-degree-of-freedom reference trajectory that is computed using a direct pseudo spectral method. The innerloop control law is capable of reacting and compensating for off-nominal conditions by employing its nonlinear control allocation, dynamic inversion, and model-following/anti-windup prefilters. The results show that the inner-loop control can adequately track the desired optimal guidance commands; thus, confirming the applicability of this control architecture for future development involving on-line, optimal trajectory generation and high-fidelity footprint determination for reentry vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444957

Entities

People

  • David D. Doman
  • Kevin P. Bollino
  • Michael W. Oppenheimer

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Control Surfaces
  • Control Systems
  • Coordinate Systems
  • Demographic Cohorts
  • Equations Of Motion
  • Governments
  • Guidance
  • Inversion
  • Launch Vehicles
  • Reusable Launch Vehicles
  • Simulations
  • Trajectories
  • Vehicles

Readers

  • Robotics and Automation.