Numerically Efficient Rotorcraft Trim and Transient Response

Abstract

Comprehensive rotorcraft analysis systems are valuable tools in the design and analysis of rotorcraft. To make rotorcraft analyses a more practical tool for routine use, the long runtimes of analyses must be reduced. A central computational issue is the problem of solving for the rotorcraft trim and transient response. As a result of this limitation in the analysis of systems with a large number of degrees of freedom, the goal of this phase I effort is to develop a prototype for numerical algorithms for efficient trim and transient response. The effort includes three steps to reduce the runtime: 1) Using the periodicity of a multibladed rotor to develop an identical blade algorithm to reduce the number of trim calculations; 2) Creating a reformulated element for 2GCHAS to allow efficient modal reduction and the use of the identical blade algorithm; and 3) Utilizing modal reduction to reduce the order of the model, thus reducing the runtime of the trim and transient response calculations. Algorithms for these steps have been successfully developed and enable systems such as 2GCHAS to perform analyses more efficiently. This efficient trim and transient response analysis broadens the scope of rotorcraft problems that can be analyzed in a reasonable amount of time.

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Document Details

Document Type
Technical Report
Publication Date
Aug 29, 1996
Accession Number
ADA390276

Entities

People

  • Hossein Saberi
  • Rochelle Beaver

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Centrifugal Force
  • Computations
  • Computer Programming
  • Coordinate Systems
  • Efficiency
  • Eigenvalues
  • Equations
  • Equations Of Motion
  • Fourier Series
  • Fuselages
  • Helicopters
  • Prototypes
  • Rotary Wing Aircraft
  • Transient Response Analysis

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Control Systems Engineering.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)