Abstract

Considering the uncertainty of the flight dynamics model of the tilt-rotor aircraft in different flight modes, anL1adaptive controller for full flight modes control system of tilt-rotor aircraft is designed. Taking advantage of the separation of robustness and adaptive design of theL1adaptive controller, adaptive gain, and low-pass filter are designed to achieve the desired control performance and meet the requirements of flight quality. The simulations of XV-15 tilt-rotor aircraft in helicopter mode and airplane mode are carried out. Then, the simulation of conversion mode is further carried out. The results show that the tilt-rotor aircraft can track the reference signal well under theL1control system. In addition, the changes of states as well as controls in conversion mode flight are quite smooth which is very meaningful for engineering application.

Highlights

  • A tilt-rotor aircraft has the advantages of both fixed-wing and rotorcraft such as high speed and long-range flight, vertical take-off, and landing ability

  • Motivated by the discussions above, we introduce the L1 adaptive control method to the tilt-rotor aircraft in the flight control system

  • (1) Tilt-rotor aircraft has three flight modes in the flight envelope, which results in a large uncertainty in the flight dynamics model

Read more

Summary

Introduction

A tilt-rotor aircraft has the advantages of both fixed-wing and rotorcraft such as high speed and long-range flight, vertical take-off, and landing ability. It can cover the flight envelope of conventional helicopters and propeller planes and has broad applications in both civil and military fields. Rysdyk and Calise [7] propose an inverse control method based on neural network model to control civil tilt-rotor aircraft, which can ensure satisfied dynamic performance in the whole flight envelope.

Mathematical Model Description and Verification
Mode Validation
L1 Adaptive Controller Design
Scenario 1
Scenario 2
Scenario 3
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call