Autonomous Control Modes and Optimized Path Guidance for Shipboard Landing in High Sea States

Abstract

This project is performed under the Office of Naval Research program on Basic and Applied Research in Sea- Based Aviation (ONR BAA12-SN-0028). This project addresses the Sea Based Aviation (SBA) initiative in Advanced Handling Qualities for Rotorcraft. This project seeks to develop advanced control law frameworks and design methodologies to provide autonomous landing (or, alternatively, a high level of control augmentation for pilot-in-the-loop landings). The design framework will focus on some of the most critical components of autonomous landing control laws with the objective of improving safety and expanding the operational capability of manned and unmanned rotorcraft. The key components include approach path planning that allows for a maneuvering ship, high performance station-keeping and gust rejection over a landing deck in high winds/sea states, and deck motion feedback algorithms to allow for improved tracking of the desired landing position and timing of final descent. One of the important aspects of this project is to have high fidelity dynamic models of the rotorcraft and accurate simulation of the shipboard environment. A generic medium class helicopter model has been developed using FLIGHTLAB modeling and simulation software, and the preliminary version of this model was provided for supporting the control system design and simulation testing. During this reporting period, the medium class helicopter model has been updated to include both ship motion dynamics and ship airwake model. The ship model was developed using the publically available information of a generic DDG class ship. The prescribed sinusoidal functions were used to represent the ship's motion. A draft manuscript was accepted to the 2015 AIAA AFM Conference at AVIATION 2015: Tritschler J.K. and Horn J.F. Objective Function Development for Optimized Path Guidance for Rotorcraft Shipboard Recovery . The paper will be presented in Dallas TX, June 22-26 2015.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2015
Accession Number
ADA617863

Entities

People

  • Chengjian He
  • John Tritschler
  • Joseph F. Horn
  • Junfeng Yang

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Algorithms
  • Control Systems
  • Delphi Method
  • Engineering
  • Flight Control Systems
  • Glide Slope
  • Guidance
  • Helicopters
  • Models
  • Rotary Wing Aircraft
  • Sea Based
  • Ship Decks
  • Ship Motion
  • Shipboard
  • Simulations

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Naval Architecture and Marine Engineering.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control