Nothing Special   »   [go: up one dir, main page]

Ivler et al., 2019 - Google Patents

Multirotor electric aerial vehicle model validation with flight data: Physics-based and system identification models

Ivler et al., 2019

View PDF
Document ID
17776021239292188352
Author
Ivler C
Niemiec R
Gandhi F
Sanders F
Publication year
Publication venue
Vertical Flight Society 75th Annual Forum, Philidelphia, PA, USA

External Links

Snippet

Developing standard, well-vetted methods for modeling and simulation, prediction of flying/handling qualities, and control system design is critical for improving safety and quality control of multirotor electric aerial vehicles. This paper explores two methods for modeling …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • G05D1/0816—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability
    • G05D1/0825—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability using mathematical models
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/04—Control of altitude or depth
    • G05D1/06—Rate of change of altitude or depth
    • G05D1/0607—Rate of change of altitude or depth specially adapted for aircraft
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps

Similar Documents

Publication Publication Date Title
Mettler Identification modeling and characteristics of miniature rotorcraft
Gavrilets et al. Dynamic model for a miniature aerobatic helicopter
Jiřinec Stabilization and control of unmanned quadcopter
Ivler et al. Multirotor electric aerial vehicle model validation with flight data: Physics-based and system identification models
Phang et al. Systematic design and implementation of a micro unmanned quadrotor system
Silano et al. Software-in-the-loop simulation for improving flight control system design: a quadrotor case study
Fum Implementation of Simulink controller design on Iris+ quadrotor
Capello et al. Mini quadrotor UAV: design and experiment
Peddle Acceleration based manoeuvre flight control system for unmanned aerial vehicles
Sureshkumar Autonomous control of a quadrotor UAV using fuzzy logic
Kim et al. Control system design and testing for a small‐scale autonomous helicopter
Özdoğan et al. Design, modeling, and control allocation of a heavy-lift aerial vehicle consisting of large fixed rotors and small tiltrotors
Osborne Transitions between hover and level flight for a tailsitter UAV
Ivler et al. Case studies of system identification modeling for flight control design
Xu et al. Modelling and hovering control of a novel multi-tandem ducted fan vehicle
Kemper et al. Impact of center of gravity in quadrotor helicopter controller design
Niemiec et al. Multirotor electric aerial vehicle model identification with flight data with corrections to physics-based models
Jager Test and evaluation of the Piccolo II autopilot system on a one-third scale Yak-54
Kringeland Modelling and control of a vertical take-off and landing fixed-wing unmanned aerial vehicle
Sobron Design and Testing of a Flight Control System for Unstable Subscale Aircraft
Capello et al. Randomized approaches for control of quadrotor UAVs
Marantos et al. Robust stabilization control of unknown small-scale helicopters
Amiri et al. Nonlinear adaptive control of a new configuration of rotary wing unmanned aerial vehicle
Giacomo Modeling, Simulation, and Flight Test for Automatic Flight Control of the Condor Hybrid-Electric Remote Piloted Aircraft
Gaum Agressive flight control techniques for a fixed wing unmanned aerial vehicle