VFS Website
  • VIEW CART
  • CUSTOMER SUPPORT
  • MY STORE ACCOUNT
  • CONTACT US
  • STORE HOME
  • 5Prime
  • Forum Proceedings
  • Workshops
  • Technical Meetings
  • Vertiflite
  • Books, CDs & Gifts


Unable to log in or get member pricing? Having trouble changing your password?

Please review our Frequently Asked Questions for complete information on these and other common situations.
 

Vertical Flight Library & Store

CHECKOUT

0 Item(s) In Cart Total: $0.00


Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data

Marit E. Knapp, Christina M. Ivler, Marcos G. Berrios, Tom Berger, Mark B. Tischler

May 8, 2017

  • Your Path :
  • Home
  • > Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data

Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data

  • Presented at Forum 73
  • 16 pages
  • SKU # : 73-2017-0110
  • Your Price : $30.00
  • Join or log in to receive the member price of $15.00!


VFS member?
Don't add this to your cart just yet!
Be sure to log in first to receive the member price of $15.00!

 
Add To Cart

Add to Wish List

Reward Value:
(60) Member Points

Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data

Authors / Details: Marit E. Knapp, Christina M. Ivler, Marcos G. Berrios, Tom Berger, Mark B. Tischler

Abstract
Flight testing of explicit rotor-state feedback (RSF) fly-by-wire control laws showed that measuring rotor tip-path-plane (TPP) flapping, via a laser measurement system, provided additional lead to the control system. This resulted in superior handling qualities in turbulence and heavy winds and improved stability margins. However, a significant impediment to the adoption of explicitly measured RSF has been the difficulty in extracting reliable rotor measurements. Therefore, this paper describes the development of a Kalman filter that was designed to estimate rotor TPP coordinates, and remove noise from the flapping signals while retaining the useful information without introducing large time delay, as would be the case for conventional low pass filtering. A new method for the design of the process noise covariance matrix using optimization of frequency domain specifications was implemented using flight test data from the UH-60 Black Hawk. The design was integrated into an explicit rotor-state feedback control algorithm, where it was tested for robustness to sensor faults and effectiveness based on improvements to stability margins. The results showed that the Kalman filter was robust to rotor blade sensor spike and drop-out faults and resulted in improved stability margins and handling qualities.

Recently Viewed Items

  • Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data

    Member Price :
    $15.00
    Your Price :
    $30.00

Popular Products

  • Master Card
  • Visa
  • American Express
  • Customer Support
  • Contact Us
  • Privacy and Security Policies
  • Refund Policies

Copyright © 2022 The Vertical Flight Society. All rights reserved.