Pointing and Tracking of Particle Beams.

Abstract

A problem is considered to determine the feasibility of using a Multiple Model Adaptive Estimator (MMAE) based on space-time point process observations, as part of a control loop. The estimator tracks the centroid of a one-dimensional Gaussian-shaped source of individual photo-electron events. The centroid is assumed to move dynamically as a first order Guass-Markov process. Estimator performance for two implementations (using 'best half' versus 'merge' rationale for limiting the number of individual filters in the MMAE structure) is described in terms of steady-state root mean square error evaluated as a function of six important system parameters. Estimates of the beam centroid are used by a regulator based on a Linear system and Quadratic cost criteria to determine the effectiveness of the method. For tracking purposes, a real-world target and a Kalman filter are provided based on a first order Guass-Markov process model, and the controller is tested in this environment. Results indicate that the estimator provides a viable means of controlling the position of the centroid. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA138311

Entities

People

  • W. L. Zicker

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Detectors
  • Estimators
  • Filters
  • Kalman Filters
  • Linear Systems
  • Markov Processes
  • Mathematical Filters
  • Monte Carlo Method
  • Particle Beams
  • Probability
  • Steady State
  • Stochastic Processes

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.

Technology Areas

  • Directed Energy
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems
  • Space
  • Space - Space Objects