20 research outputs found
Rotational speed control of multirotor UAV's propulsion unit based on fractional-order PI controller
In this paper the synthesis of a rotational speed
closed-loop control system based on a fractional-order
proportional-integral (FOPI) controller is presented. In particular,
it is proposed the use of the SCoMR-FOPI procedure as the
controller tuning method for an unmanned aerial vehicleโs
propulsion unit. In this framework, both the Hermite-Biehler
and Pontryagin theorems are used to predefine a stability region
for the controller. Several simulations were conducted in order to
try to answer the questions โ is the FOPI controller good enough
to be an alternative to more complex FOPID controllers? In what
circumstances can it be advantageous over the ubiquitous PID?
How robust this fractional-order controller is regarding the parametric uncertainty of considered propulsion unit model?info:eu-repo/semantics/publishedVersio
Novel Model-Based Control Mixing Strategy for a Coaxial Push-Pull Multirotor
A Coaxial push-pull multirotor is a Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV) having 2n (n โ IN*) rotors arranged in n blocks of two coaxial contrarotating rotors. A model-based control allocation algorithm (mixer) for this architecture is proposed. The novelty of the approach lies in the fact that the coaxial aerodynamic interference occurring between the pairs of superimposed rotors is not neglected but rather nonlinear empiric models of the coaxial aerodynamic thrust and torque are used to build the mixer. Real flight experiments were conducted and the new approach showed promising results
Fault Diagnosis and Fault-Tolerant Control of Unmanned Aerial Vehicles
With the increasing demand for unmanned aerial vehicles (UAVs) in both military and civilian applications, critical safety issues need to be specially considered in order to make better and wider use of them. UAVs are usually employed to work in hazardous and complex environments, which may seriously threaten the safety and reliability of UAVs. Therefore, the safety and reliability of UAVs are becoming imperative for development of advanced intelligent control systems. The key challenge now is the lack of fully autonomous and reliable control techniques in face of different operation conditions and sophisticated environments. Further development of unmanned aerial vehicle (UAV) control systems is required to be reliable in the presence of system component faults and to be insensitive to model uncertainties and external environmental disturbances.
This thesis research aims to design and develop novel control schemes for UAVs with consideration of all the factors that may threaten their safety and reliability. A novel adaptive sliding mode control (SMC) strategy is proposed to accommodate model uncertainties and actuator faults for an unmanned quadrotor helicopter. Compared with the existing adaptive SMC strategies in the literature, the proposed adaptive scheme can tolerate larger actuator faults without stimulating control chattering due to the use of adaptation parameters in both continuous and discontinuous control parts. Furthermore, a fuzzy logic-based boundary layer and a nonlinear disturbance observer are synthesized to further improve the capability of the designed control scheme for tolerating model uncertainties, actuator faults, and unknown external disturbances while preventing overestimation of the adaptive control parameters and suppressing the control chattering effect. Then, a cost-effective fault estimation scheme with a parallel bank of recurrent neural networks (RNNs) is proposed to accurately estimate actuator fault magnitude and an active fault-tolerant control (FTC) framework is established for a closed-loop quadrotor helicopter system. Finally, a reconfigurable control allocation approach is combined with adaptive SMC to achieve the capability of tolerating complete actuator failures with application to a modified octorotor helicopter. The significance of this proposed control scheme is that the stability of the closed-loop system is theoretically guaranteed in the presence of both single and simultaneous actuator faults
๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ์ ๋ํ ๋คํ์ ํด์ ๋ฐ ์๋ฎฌ๋ ์ด์ ํ๋ ์์ํฌ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ๊ณต๊ณผ๋ํ ํญ๊ณต์ฐ์ฃผ๊ณตํ๊ณผ, 2023. 2. ์ด๊ด์ค.A wingless-type electric vertical take-off and landing (eVTOL) is one of the representative aircrafts utilized logistics and delivery, search and rescue, military, agriculture, and inspection of structures. For a small unmanned aerial vehicles of the wingless-type eVTOL, a quadrotor is a representative configuration to operate those missions. For a large size of the wingless-type eVTOL, it is an aircraft for urban air mobility service (UAM) specialized for intracity point-to-point due to its advantages such as efficient hover performance, high gust resistance, and relatively low noisiness.
The rotating speed of the multiple rotors in the wingless-type eVTOL has to be changed continuously to achieve stable flight. Moreover, the speed and the loaded torque of the motors also continuously change. Therefore, it is necessary to analyze the rotor thrust and torque with respect to the speed of each rotor as assigned by the controller to predict the flight performance of the wingless-type eVTOL. The electric power required by the motors is also necessary to be predicted based on the torque loaded to the motors to maintain the rotating speed.
This study suggests a flight simulation framework based on these multidisciplinary analyses including control, rotor aerodynamics, and electric propulsion system analysis. Using the flight simulation framework, it is possible to predict the flight performance of the wingless-type eVTOL for given operating conditions.
The flight simulation framework can predict the overall performance required to resist the winds and the corresponding battery energy of a quadrotor. Flight endurance of an industrial quadrotor was examined under light, moderate, and strong breeze modeled by von Kรกrmรกn wind turbulence with Beaufort wind force scale. As a result, it is found that the excess battery energy is increased with ground speed, even under the same wind conditions. As the ground speed increases, the airspeed is increased, led to higher frame drag, position error, pitch angle, and required mechanical power, consequently. Moreover, the quadrotor is not operable beyond a certain wind and ground speed since the required rotational speed of rotors exceeds the speed limit of motors.
The simulation framework can also predict the overall performance of a wingless eVTOL for UAM service. Because of its multiple rotors, rotorโrotor interference inevitably affects flight performance, mainly depending on inter-rotor distance and rotor rotation directions. In this case, there is an optimal rotation direction of the multiple rotors to be favorable in actual operation. In this study, it was proposed that a concept of rotor rotation direction that achieves the desirable flight performance in actual operation. The concept is called FRRA (Front rotors Retreating side and Rear rotors Advancing side). It was found that FRRA minimizes thrust loss due to rotor-rotor interference in high-speed forward flight. For a generic mission profile of UAM service, the rotation direction set by FRRA reduces the battery energy consumption of 7 % in comparison to the rotation direction of unfavorable rotor-rotor interference in operation.๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ๋ ํ๋ฐฐ ๋ฐ ์ด์ก ์๋น์ค, ์์ ๋ฐ ๊ตฌ์กฐ, ๊ตญ๋ฐฉ, ๋์
, ๊ตฌ์กฐ๋ฌผ ์ ๊ฒ๊ณผ ๊ฐ์ ๋ถ์ผ์์ ๋ํ์ ์ผ๋ก ์ด์ฉ๋๊ณ ์๋ ํญ๊ณต๊ธฐ์ด๋ค. ์ฟผ๋๋กํฐ๋ ์ด๋ฌํ ์๋ฌด๋ฅผ ์ํํ๊ธฐ ์ํ ๋ํ์ ์ธ ์ํ ๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ์ด๋ค. ๋ํ ๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ๋ ํจ์จ์ ์ธ ์ ์๋ฆฌ ๋นํ ์ฑ๋ฅ, ๋์ ๋ดํ์ฑ, ๋ฎ์ ์์ ๊ณตํด์ ๊ฐ์ ํน์ง์ผ๋ก ์ธํด ๋์ฌ ๋ด ์ดํญ ์๋น์ค๋ฅผ ์ํ ํญ๊ณต๊ธฐ๋ก ํ์ฉ๋๊ณ ์๋ค.
๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ์ ์ฌ๋ฌ ํ์ ๋ ๊ฐ๋ ์์ ๋ ๋นํ์ ์ ์งํ๊ธฐ ์ํด, ์ง์ํด์ ํ์ ์๋๋ฅผ ๋ณํ์ํจ๋ค. ๊ฒ๋ค๊ฐ, ๋ชจํฐ์ ํ์ ์๋์ ๋ถํ๋๋ ํ ํฌ ๋ํ ์ง์์ ์ผ๋ก ๋ณํํ๋ค. ๊ทธ๋ฌ๋ฏ๋ก ๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ์ ๋นํ ์ฑ๋ฅ์ ์์ธกํ๊ธฐ ์ํด, ์ ์ด๊ธฐ์์ ๊ฐ ํ์ ๋ ๊ฐ์ ๋ถ์ฌ๋ ํ์ ์๋์ ๋ฐ๋ฅธ ์ถ๋ ฅ ๋ฐ ํ ํฌ๋ฅผ ํด์ํด์ผ ํ๋ค. ๊ทธ๋ฆฌ๊ณ ์ด๋ฌํ ํ์ ๋ ๊ฐ์ ํ์ ์๋๋ฅผ ์ ์งํ๊ธฐ ์ํด ๋ชจํฐ์ ๋ถํ ๋๋ ํ ํฌ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก, ๋ชจํฐ์์ ์๊ตฌ๋๋ ์ ๋ ฅ์ ์์ธกํด์ผ ํ๋ค.
๋ณธ ๋
ผ๋ฌธ์์๋ ์ ์ด, ํ์ ๋ ๊ฐ ๊ณต๋ ฅ, ์ ๊ธฐ ์ถ์ง ์์คํ
ํด์์ด ํฌํจ๋ ๋คํ์ ํด์ ๊ธฐ๋ฐ์ ๋นํ ์๋ฎฌ๋ ์ด์
ํ๋ ์์ํฌ๋ฅผ ์ ์ํ๋ค. ๋นํ ์๋ฎฌ๋ ์ด์
ํ๋ ์์ํฌ๋ฅผ ์ด์ฉํ์ฌ, ์ค์ ์ด์ฉ ํ๊ฒฝ์์์ ๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ ๋นํ ์ฑ๋ฅ์ ์์ธกํ ์ ์๋ค.
๋นํ ์๋ฎฌ๋ ์ด์
ํ๋ ์์ํฌ๋ฅผ ํ์ฉํ์ฌ ์ฟผ๋๋กํฐ์ ๋ํด ์ธํ์ ์ ํญํ๊ธฐ ์ํ ๋นํ ์ ๋ฐ์ ์ธ ์ฑ๋ฅ๊ณผ ๊ทธ์ ๋ฐ๋ฅธ ๋ฐฐํฐ๋ฆฌ ์๋์ง ์๋ชจ๋ฅผ ์์ธกํ์๋ค. Von Kรกrmรกn ์ธํ ๋๋ฅ์ Beaufort ์ธํ ๊ฐ๋ ๋ฑ๊ธ์ ํ์ฉํ์ฌ ๋จ์ค๋ฐ๋, ๊ฑด๋ค๋ฐ๋, ๋๋ฐ๋ ํ๊ฒฝ์ ๋ํ ์ฐ์
์ฉ ์ฟผ๋๋กํฐ์ ๋นํ์๊ฐ์ ์กฐ์ฌํ์๋ค. ๊ทธ ๊ฒฐ๊ณผ, ๋์ผํ ์ธํ ํ๊ฒฝ์ผ์ง๋ผ๋ ์ ์ง ๋นํ ์๋๊ฐ ์ฆ๊ฐํ ์๋ก ๋ฐฐํฐ๋ฆฌ ์์ ์๋์ง๊ฐ ์ฆ๊ฐํ๋ค๋ ๊ฒ์ ๋ฐํ๋ค. ์ ์ง ๋นํ ์๋์ ์ฆ๊ฐ๋ก ์ธํด ์ฟผ๋๋กํฐ์ ์ ์
๋๋ ์ ์์ด ์ฆ๊ฐํ์ฌ, ๋์ฒด ํญ๋ ฅ, ์์น ์ค์ฐจ, ๊ธฐ์ ๋ด๋ฆผ ๊ฐ๋, ์๊ตฌ ๊ธฐ๊ณ ๋๋ ฅ์ด ์ฆ๊ฐํ์๋ค. ๊ทธ๋ฆฌ๊ณ ํน์ ์ธํ ์๋์ ์ ์ง ์๋ ์ด์์์์ ์ฟผ๋๋กํฐ๋ ์๊ตฌ๋๋ ํ์ ๋ ๊ฐ์ ํ์ ์๋๊ฐ ๋ชจํฐ์ ํ์ ์๋์ ํ๊ณ๋ณด๋ค ๋์ผ๋ฏ๋ก ๋นํํ ์ ์์๋ค.
๋ํ, ๋นํ ์๋ฎฌ๋ ์ด์
ํ๋ ์์ํฌ๋ฅผ ํ์ฉํ์ฌ ๋์ฌ ์ดํญ ์๋น์ค์ฉ ๋ฌด์ต๊ธฐํ ์ ๊ธฐ ์ถ์ง ์์ง ์ด์ฐฉ๋ฅ๊ธฐ์ ์ ๋ฐ์ ์ธ ๋นํ ์ฑ๋ฅ์ ์์ธกํ์๋ค. ์ฌ๋ฌ ํ์ ๋ ๊ฐ์ ํน์ง์ผ๋ก ์ธํด, ํ์ ๋ ๊ฐ ๊ฐ ๊ฑฐ๋ฆฌ์ ํ์ ๋ ๊ฐ์ ํ์ ๋ฐฉํฅ์ ๋ฐ๋ผ ํ์ ๋ ๊ฐ ๊ฐ ๊ฐ์ญํจ๊ณผ๊ฐ ํ์ฐ์ ์ผ๋ก ๋นํ ์ฑ๋ฅ์ ์ํฅ์ ๋ฏธ์น๋ค. ์ด๋, ์ด์ฉ์ ์ ๋ฆฌํ ์ต์ ์ ํ์ ๋ ๊ฐ ํ์ ๋ฐฉํฅ์ด ์กด์ฌํ๋ค. ๋ณธ ๋
ผ๋ฌธ์์ ์ค์ ์ด์ฉ์์ ๋ฐ๋์งํ ๋นํ ์ฑ๋ฅ์ ๋ฐํํ๋ ํ์ ๋ ๊ฐ์ ํ์ ๋ฐฉํฅ์ ๋ํ ๊ฐ๋
์ธ FRRA๋ฅผ ์ ์ํ์๋ค. FRRA๋ ์ ๋ฐฉ ๋กํฐ์ ํํด ์ธก๊ณผ ํ๋ฐฉ ๋กํฐ์ ์ ์ง ์ธก์ด ์ผ์ง์ ์ผ๋ก ์ ๋ ฌ๋ ์ํ์ ํ์ ๋ฐฉํฅ์ด๋ค. FRRA ํ์ ๋ฐฉํฅ์ ๊ณ ์ ์ ์ง ๋นํ์์ ํ์ ๋ ๊ฐ ๊ฐ ๊ฐ์ญํจ๊ณผ๋ก ์ธํ ์ถ๋ ฅ ์์ค์ด ์ต์ํ๋๋ค. ํ์ ๋ ๊ฐ ๊ฐ ๊ฐ์ญํจ๊ณผ๋ก ์ธํด ๋ถ๋ฆฌํ ๋นํ ์ฑ๋ฅ์ ๊ฐ์ง๋ ํ์ ๋ฐฉํฅ ๋๋น FRRA ํ์ ๋ฐฉํฅ์ ๋์ฌ ํญ๊ณต ๊ตํต ์๋น์ค์ ๋ํ ์ผ๋ฐ์ ์ธ ์ด์ฉ์์ ๋ฐฐํฐ๋ฆฌ ์๋ชจ์จ์ด 7% ์ ๋ ๊ฐ์ํ์๋ค.Chapter 1. Introduction 1
1.1 Overview of wingless-type eVTOL 1
1.2 Previous studies about wingless-type eVTOL 6
1.2.1 Multidisciplinary analysis of control, aerodynamic, and EPS 6
1.2.2 External wind of wingless-type eVTOLs for small UAVs 9
1.2.3 Rotor-rotor interference of wingless-type eVTOLs for UAM 10
1.3 Motivation and scope of the dissertation 12
Chapter 2. Simulation Framework 16
2.1 Layout and analysis modules in simulation framework 16
2.1.1 Cascade PID control module 19
2.1.1 Aerodynamic analysis module 24
2.1.2 Electric propulsion system analysis module 30
2.1.3 6-DOF dynamics analysis module 33
2.2 Add-on modules for actual operation 37
2.2.1 Wind turbulence module 37
2.2.2 Rotor-rotor interference module 39
Chapter 3. Validation of Simulation Framework 44
3.1 Static thrust and torque on a single rotor test 44
3.2 Wind resistance test 46
3.3 Rotor-rotor interference of tandem rotors 52
3.4 Rotor-rotor interaction of a quadrotor in CFD 54
3.5 Investigation of rotor-rotor interference with respect to rotation directions in a quadrotor 58
Chapter 4. Flight Performance of Quadrotor under Wind Turbulence 65
4.1 Flight conditions 65
4.2 Wind turbulence conditions 66
4.3 Simulation results 69
Chapter 5. Flight Performance of Wingless-type eVTOL for UAM Service with Respect to the Rotor Rotation Directions 78
5.1 Hypothetical model of a wingless-type eVTOL for UAM service 78
5.2 Rotor rotation directions and aerodynamic performance 83
5.2.1 Hover flight 86
5.2.2 Forward flight at 100 km/h 88
5.2.3 Forward flight in the airspeed of 100 km/h with 30 yaw angle 93
5.3 Surrogate models including the rotor-rotor interaction effect 96
5.4 Simulation results 99
Chapter 6. Conclusion 112
6.1 Summary 112
6.2 Originalities of the dissertation 113
6.3 Future works 116
Appendix 118
References 127
๊ตญ๋ฌธ ์ด๋ก 144๋ฐ
Proceedings of the International Micro Air Vehicles Conference and Flight Competition 2017 (IMAV 2017)
The IMAV 2017 conference has been held at ISAE-SUPAERO, Toulouse, France from Sept. 18 to Sept. 21, 2017. More than 250 participants coming from 30 different countries worldwide have presented their latest research activities in the field of drones. 38 papers have been presented during the conference including various topics such as Aerodynamics, Aeroacoustics, Propulsion, Autopilots, Sensors, Communication systems, Mission planning techniques, Artificial Intelligence, Human-machine cooperation as applied to drones
Filling the sensor gap: applying UAS technology to land-use research
Collecting data at ground level typically yields the most detailed information on a
subject, however it is limited by the spatial extent that can be covered within a
specific timeframe. Remote sensing from an aerial platform increases this spatial
extent and the deployment of unmanned aircraft systems (UAS) can provide this
ability directly to researchers at an affordable cost and at data resolutions that are
very applicable for site specific surveys. Further to this, developments in
photogrammetry software allow the creation of orthorectified spectral and structural
data that can that can be classified via pixel or object-based analysis methods and
applied to a wide variety of different land-use research areas. In this study a sensor
package was created consisting of two off the shelf digital cameras, one un-modified
and the other modified to be sensitive to near infra-red wavelengths of light. A multi-rotor
aerial platform utilising an open source autopilot was assembled to enable data
collection and a processing pipeline was devised to transform RAW camera imagery
into georeferenced and orthorectified data, using computer vision software following
the structure from motion (SfM) approach. This remote sensing tool was applied to a
variety of land-use research study sites in central Scotland and Northern England
with two main areas focused on. (1) The use of spectral and structural data for the
detection of disease within a potato (Solanum tuberosum L.) crop revealed that UAS
could be an effective tool for mapping the distribution of diseased plants. (2)
Comparisons between aerial data and traditional manual assessments of a trial crop
of potatoes revealed that the earliest stages of plant emergence could not be
detected but later plant counts, and ground cover estimates correlated well,
indicating that UAS could be an effective trials monitoring tool, giving extra structural
data and potentially a more representative measure of canopy ground cover
compared to traditional manual techniques. This study also showed results from
experimental applications investigating the mapping of invasive non-native species
and ways of enabling upscaling of greenhouse gas emissions from different land
use types. Therefore, this study demonstrates that UAS equipped with basic
imaging technology can be of use to a variety of land-use research areas and look
set to become an invaluable remote sensing tool, which will improve further with the
addition of calibrated multi-spectral sensor payloads, high precision global
navigation satellite systems and relaxation in regulations governing their use