2,193 research outputs found
Attitude and position control of flapping-wing micro aerial vehicles
Compared with the fixed-wing and rotor aircraft, the
flapping-wing micro aerial vehicle
is of great interest to many communities because of its high efficiency and
flexible maneuverability.
However, issues such as the small size of the vehicles, complex dynamics and
complicated systems due to uncertainty, nonlinearity, and multi-coupled parameters cause
several significant challenges in construction and control. In this thesis, based on Euler angle
and unit quaternion representations, the backstepping technique is used to design attitude
stabilization controllers and position tracking controllers for a good control performance of
a
flapping-wing micro aerial vehicle.
The attitude control of a
apping{wing micro aerial vehicle is achieved by controlling the
aerodynamic forces and torques, which are highly nonlinear and time{varying. To control
such a complex system, a dynamic model is derived by using the Newton{Euler method.
Based on the mathematical model, the backstepping technique is applied with the Lyapunov
stability theory for the controller design. Moreover, because a
flapping-wing micro aerial
vehicle has very
exible wings and oscillatory
flight characteristics, the adaptive fuzzy control
law as well as H1 control strategy are also used to estimate the unknown parameters and
attenuate the impact of external disturbances. What is more, due to the problem of the
gimbal lock of Euler angles, the unit quaternion representation is used afterwards.
As for position control, the forward movement is controlled by the thrust and lift force
generated by the wings of
flapping-wing micro aerial vehicles. To make the actual position
and velocity follow the desired trajectory and velocity, the backstepping scheme is used based
on a unit quaternion representation. In order to reduce the complexity of differentiation of
the virtual control in the design process, a dynamic surface control method is then used by
the idea of a low-pass filter.
Matlab simulation results prove the mathematical feasibility and also illustrate that all the
proposed controllers have a stable control performance
The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education
In this paper, we introduce the Phoenix drone: the first completely
open-source tail-sitter micro aerial vehicle (MAV) platform. The vehicle has a
highly versatile, dual-rotor design and is engineered to be low-cost and easily
extensible/modifiable. Our open-source release includes all of the design
documents, software resources, and simulation tools needed to build and fly a
high-performance tail-sitter for research and educational purposes. The drone
has been developed for precision flight with a high degree of control
authority. Our design methodology included extensive testing and
characterization of the aerodynamic properties of the vehicle. The platform
incorporates many off-the-shelf components and 3D-printed parts, in order to
keep the cost down. Nonetheless, the paper includes results from flight trials
which demonstrate that the vehicle is capable of very stable hovering and
accurate trajectory tracking. Our hope is that the open-source Phoenix
reference design will be useful to both researchers and educators. In
particular, the details in this paper and the available open-source materials
should enable learners to gain an understanding of aerodynamics, flight
control, state estimation, software design, and simulation, while experimenting
with a unique aerial robot.Comment: In Proceedings of the IEEE International Conference on Robotics and
Automation (ICRA'19), Montreal, Canada, May 20-24, 201
3D Flapping Trajectory of a Micro-Air-Vehicle and its Application to Unsteady Flow Simulation
[[abstract]]A three-dimensional (3D) trajectory detection framework using two high-speed cameras for the flapping flexible wing of a micro-air-vehicle (MAV) is presented. This MAV, which is called the “Golden Snitch”, has a successful flight record of 8 minutes. We embed the flexible wingskin with a nine light emitting diode (LED) array as the light enhancing marker and capsulate it with parylene (poly-para-xylylene) as the protection layer. We confirm an oblique figure of eight trajectory of this MAV’s wing with time-varying coordinate data. The corresponding aerofoil of the main wings’ profiles was subjected to the time-varying coordinate data, yielding a resolution of a 1/70 wing beating cycle of 15Hz flapping. The trajectory information is first demonstrated as the moving boundaries of an unsteady flow simulation around a flapping flexible wing.[[notice]]補正完畢[[journaltype]]國外[[incitationindex]]SCI[[ispeerreviewed]]Y[[booktype]]電子版[[booktype]]紙本[[countrycodes]]HR
DESIGN AND CONTROL OF A HUMMINGBIRD-SIZE FLAPPING WING MICRO AERIAL VEHICLE
Flying animals with flapping wings may best exemplify the astonishing ability of natural selection on design optimization. They evince extraordinary prowess to control their flight, while demonstrating rich repertoire of agile maneuvers. They remain surprisingly stable during hover and can make sharp turns in a split second. Characterized by high-frequency flapping wing motion, unsteady aerodynamics, and the ability to hover and perform fast maneuvers, insect-like flapping flight presents an extraordinary aerial locomotion strategy perfected at small size scales. Flapping Wing Micro Aerial Vehicles (FWMAVs) hold great promise in bridging the performance gap between engineered flying vehicles and their natural counterparts. They are perfect candidates for potential applications such as fast response robots in search and rescue, environmental friendly agents in precision agriculture, surveillance and intelligence gathering MAVs, and miniature nodes in sensor networks
Integration of Polyimide Flexible PCB Wings in Northeastern Aerobat
The principal aim of this Master's thesis is to propel the optimization of
the membrane wing structure of the Northeastern Aerobat through origami
techniques and enhancing its capacity for secure hovering within confined
spaces. Bio-inspired drones offer distinctive capabilities that pave the way
for innovative applications, encompassing wildlife monitoring, precision
agriculture, search and rescue operations, as well as the augmentation of
residential safety. The evolved noise-reduction mechanisms of birds and insects
prove advantageous for drones utilized in tasks like surveillance and wildlife
observation, ensuring operation devoid of disturbances. Traditional flying
drones equipped with rotary or fixed wings encounter notable constraints when
navigating narrow pathways. While rotary and fixed-wing systems are
conventionally harnessed for surveillance and reconnaissance, the integration
of onboard sensor suites within micro aerial vehicles (MAVs) has garnered
interest in vigilantly monitoring hazardous scenarios in residential settings.
Notwithstanding the agility and commendable fault tolerance exhibited by
systems such as quadrotors in demanding conditions, their inflexible body
structures impede collision tolerance, necessitating operational spaces free of
collisions. Recent years have witnessed an upsurge in integrating soft and
pliable materials into the design of such systems; however, the pursuit of
aerodynamic efficiency curtails the utilization of excessively flexible
materials for rotor blades or propellers. This thesis introduces a design that
integrates polyimide flexible PCBs into the wings of the Aerobat and employs
guard design incorporating feedback-driven stabilizers, enabling stable
hovering flights within Northeastern's Robotics-Inspired Study and
Experimentation (RISE) cage.Comment: 42 pages,20 figure
Aerial Vehicles
This book contains 35 chapters written by experts in developing techniques for making aerial vehicles more intelligent, more reliable, more flexible in use, and safer in operation.It will also serve as an inspiration for further improvement of the design and application of aeral vehicles. The advanced techniques and research described here may also be applicable to other high-tech areas such as robotics, avionics, vetronics, and space
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles
There exists an increasing demand for a flexible and computationally
efficient controller for micro aerial vehicles (MAVs) due to a high degree of
environmental perturbations. In this work, an evolving neuro-fuzzy controller,
namely Parsimonious Controller (PAC) is proposed. It features fewer network
parameters than conventional approaches due to the absence of rule premise
parameters. PAC is built upon a recently developed evolving neuro-fuzzy system
known as parsimonious learning machine (PALM) and adopts new rule growing and
pruning modules derived from the approximation of bias and variance. These rule
adaptation methods have no reliance on user-defined thresholds, thereby
increasing the PAC's autonomy for real-time deployment. PAC adapts the
consequent parameters with the sliding mode control (SMC) theory in the
single-pass fashion. The boundedness and convergence of the closed-loop control
system's tracking error and the controller's consequent parameters are
confirmed by utilizing the LaSalle-Yoshizawa theorem. Lastly, the controller's
efficacy is evaluated by observing various trajectory tracking performance from
a bio-inspired flapping-wing micro aerial vehicle (BI-FWMAV) and a rotary wing
micro aerial vehicle called hexacopter. Furthermore, it is compared to three
distinctive controllers. Our PAC outperforms the linear PID controller and
feed-forward neural network (FFNN) based nonlinear adaptive controller.
Compared to its predecessor, G-controller, the tracking accuracy is comparable,
but the PAC incurs significantly fewer parameters to attain similar or better
performance than the G-controller.Comment: This paper has been accepted for publication in Information Science
Journal 201
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