Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model

After a short overview of the COLIBRI project, this paper considers the cycle-averaged flight dynamics of a flapping-wing robot near hovering, taking advantage of the weak coupling between the roll and pitch axes. The system is naturally unstable; it needs to be stabilized actively, which requires a...

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Main Authors: Yousef Farid, Liang Wang, Lorenzo Brancato, Han Wang, Kainan Wang, André Preumont
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Actuators
Subjects:
Online Access:https://www.mdpi.com/2076-0825/12/7/262
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author Yousef Farid
Liang Wang
Lorenzo Brancato
Han Wang
Kainan Wang
André Preumont
author_facet Yousef Farid
Liang Wang
Lorenzo Brancato
Han Wang
Kainan Wang
André Preumont
author_sort Yousef Farid
collection DOAJ
description After a short overview of the COLIBRI project, this paper considers the cycle-averaged flight dynamics of a flapping-wing robot near hovering, taking advantage of the weak coupling between the roll and pitch axes. The system is naturally unstable; it needs to be stabilized actively, which requires an attitude reconstruction. Due to the flapping of the wings, the system is subject to a strong periodic noise at the flapping frequency and its higher harmonics; the resulting axial forces and pitch moments are characterized from experimental data. The flapping noise propagates to the six-axis Inertial Measurement Unit (IMU) consisting of three accelerometers and three gyros. The paper is devoted to attitude reconstruction in the presence of flapping noise representative of flight conditions. Two methods are considered: (<i>i</i>) the complementary filter based on the hovering assumption and (<i>ii</i>) a full-state dynamic observer (Kalman filter). Unlike the complementary filter, the full-state dynamic observer allows the reconstruction of the axial velocity, allowing us to control the hovering without any additional sensor. A numerical simulation is conducted to assess the merit of the two methods using experimental noise data obtained with the <i>COLIBRI</i> robot. The paper discusses the trade-off between noise rejection and stability.
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spelling doaj.art-3908b313e00c4b41a571bb2082ae561d2023-11-18T17:49:18ZengMDPI AGActuators2076-08252023-06-0112726210.3390/act12070262Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation ModelYousef Farid0Liang Wang1Lorenzo Brancato2Han Wang3Kainan Wang4André Preumont5Department of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumDepartment of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumDepartment of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumDepartment of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumDepartment of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumDepartment of Control Engineering and System Analysis, Université Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050 Brussels, BelgiumAfter a short overview of the COLIBRI project, this paper considers the cycle-averaged flight dynamics of a flapping-wing robot near hovering, taking advantage of the weak coupling between the roll and pitch axes. The system is naturally unstable; it needs to be stabilized actively, which requires an attitude reconstruction. Due to the flapping of the wings, the system is subject to a strong periodic noise at the flapping frequency and its higher harmonics; the resulting axial forces and pitch moments are characterized from experimental data. The flapping noise propagates to the six-axis Inertial Measurement Unit (IMU) consisting of three accelerometers and three gyros. The paper is devoted to attitude reconstruction in the presence of flapping noise representative of flight conditions. Two methods are considered: (<i>i</i>) the complementary filter based on the hovering assumption and (<i>ii</i>) a full-state dynamic observer (Kalman filter). Unlike the complementary filter, the full-state dynamic observer allows the reconstruction of the axial velocity, allowing us to control the hovering without any additional sensor. A numerical simulation is conducted to assess the merit of the two methods using experimental noise data obtained with the <i>COLIBRI</i> robot. The paper discusses the trade-off between noise rejection and stability.https://www.mdpi.com/2076-0825/12/7/262hummingbirdhoveringIMUattitude reconstructioncomplementary filterdynamic observer
spellingShingle Yousef Farid
Liang Wang
Lorenzo Brancato
Han Wang
Kainan Wang
André Preumont
Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
Actuators
hummingbird
hovering
IMU
attitude reconstruction
complementary filter
dynamic observer
title Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
title_full Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
title_fullStr Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
title_full_unstemmed Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
title_short Robotic Hummingbird Axial Dynamics and Control near Hovering: A Simulation Model
title_sort robotic hummingbird axial dynamics and control near hovering a simulation model
topic hummingbird
hovering
IMU
attitude reconstruction
complementary filter
dynamic observer
url https://www.mdpi.com/2076-0825/12/7/262
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