1,491 research outputs found

    Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle

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    Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV) and its control is one of the recent research topics related to the field of autonomous Unmanned Aerial Vehicles (UAVs). In this work, a four wing Natureinspired (NI) FW MAV is modeled and controlled inspiring by its advanced features like quick flight, vertical take-off and landing, hovering, and fast turn, and enhanced manoeuvrability when contrasted with comparable-sized fixed and rotary wing UAVs. The Fuzzy C-Means (FCM) clustering algorithm is utilized to demonstrate the NIFW MAV model, which has points of interest over first principle based modelling since it does not depend on the system dynamics, rather based on data and can incorporate various uncertainties like sensor error. The same clustering strategy is used to develop an adaptive fuzzy controller. The controller is then utilized to control the altitude of the NIFW MAV, that can adapt with environmental disturbances by tuning the antecedent and consequent parameters of the fuzzy system.Comment: this paper is currently under review in Journal of Artificial Intelligence and Soft Computing Researc

    Simulation of Flapping-wing Unmanned Aerial Vehicle using X-plane and Matlab/Simulink

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    This paper presents the simulation of flapping-wing unmanned aerial vehicle model using X-plane and Matlab/ Simulink. The flapping-wing ornithopter model (i.e. an aircraft that flies by flapping its wings) has been developed in plane maker software and executed in the X-plane environment. The key idea of flapping-wing mechanism in X-plane software is by varying its dihedral angle sinusoidally. This sinusoidally varying dihedral angle of wing creates upward and downward stroke moments inturn this creates a lift and a forward thrust for flying the flapping-wing model. Here pitch, roll, yaw and throttle (flapping rate) is fed as reference input through the user datagram protocol (UDP) port. The difference between the reference inputs, the simulated outputs are again fed back to simulator through UDP port and the gains are observed for the responses of flapping-wing unmanned aerial vehicle in Matlab/Simulink environment. Here various gains are used to monitor the optimized flying of flapping-wing model.Defence Science Journal, Vol. 64, No. 4, July 2014, pp.327-331, DOI:http://dx.doi.org/10.14429/dsj.64.493

    Survey of the Status of Small Armed and Unarmed Uninhabited Aircraft

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    The project โ€˜Preventive Arms Control for Small and Very Small Armed Aircraft and Missilesโ€™ investigates the properties of ever smaller aircraft and missiles. This project report no. 1 covers the status of aircraft worldwide, including relevant unarmed vehicles but excluding hobby aircraft. Small and very small aircraft are defined by size: below 2 m and below 0.2 m, respectively. After an elementary introduction into aerodynamics a technical overview is given, looking at airframe configurations, materials and manufacturing, power and propulsion, guidance, launch and recovery, and payloads. Future possibilities and trends are illustrated by presenting military research and development of the technological leader, the USA. Short chapters deal with swarms and with countermeasures. The worldwide survey has resulted in a database that contains 129 types from 27 countries. The publicly available properties are given in 26 categories. Statistical evaluations cover several key parameters

    Impact of Marine Locomotion Constraints on a Bio-inspired Aerial-Aquatic Wing:Experimental Performance Verification

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    This paper describes the design, fabrication, experimental testing and performance optimization of the morphology of a flapping wing for use on a robot capable of aerial and aquatic modes of locomotion. The focus of the optimization studies is that of wing design for aquatic propulsion. Inspiration for the research stems from numerous avian species which use a flapping wing for the dual purpose of locomotion (propulsion) in both air and water. The main aim of this research is to determine optimal kinematic parameters for marine locomotion that maximize nondimensionalized performance measures (e.g., propulsive efficiency), derived from analysis of avian wing morphing mechanisms that balance competing demands of both aerial and aquatic movement. Optimization of the kinematic parameters enables the direct comparison between outstretched (aerial) and retracted (aquatic) wing morphologies and permits trade-off studies in the design space for future robotic vehicles. Static foils representing the wing in both an extended and retracted orientation have been manufactured and subsequently subjected to testing over a range of kinematics. Details of the purpose built 2 degree-of-freedom (dof) flapping mechanism are presented. The gathered results enable validation of previously developed numerical models as well as quantifying achievable performance measures. This research focuses on the mechanical propulsive efficiencies and thrust coefficients as key performance measures whilst simultaneously considering the required mechanical input torques and the associated thrust produced.</jats:p

    DEVELOPMENT OF COAXIAL ROTOR MICRO UNMANNED AERIAL VEHICLE

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    Micro Unmanned Helicopter with ability of takeoff, landing and hovering offeres excellent support tool for missions in indoor environment. In this paper, a review of preliminary studies towards the development of autonomous coaxial helicopter MAV is presented. The paper starts with the statement of coaxial helicoper MAV development. Then, it is continued by the introduction of development of dynamic model for a typical coaxial rotor platform. In the third issues, initial steps in development of sensory system and control system will be dealt with. In brief, an analytical mathematical model has successful derived. This model together with the developed sensor system will act important role towards the full development of the dynamics model as the system identification is carried out

    ๊ผฌ๋ฆฌ๋‚ ๊ฐœ ์—†๋Š” ๋‚ ๊ฐฏ์ง“ ์ดˆ์†Œํ˜• ๋น„ํ–‰์ฒด์˜ ์ž์„ธ์กฐ์ ˆ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊น€ํ˜„์ง„.์ตœ๊ทผ ์ƒ์ฒด๋ชจ๋ฐฉ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ปค์ง€๋ฉด์„œ ์ƒ๋ช…์ฒด์˜ ๊ตฌ์กฐ, ์™ธํ˜•, ์›€์ง์ž„, ํ–‰๋™์„ ๋ถ„์„ํ•˜์—ฌ ๊ทธ๋“ค์˜ ์žฅ์ ์„ ๋กœ๋ด‡์— ์ ์šฉ์‹œ์ผœ ๊ธฐ์กด์˜ ๋กœ๋ด‡์ด ํ•ด๊ฒฐํ•  ์ˆ˜ ์—†๊ฑฐ๋‚˜ ํŠน๋ณ„ํ•œ ์ž„๋ฌด๋ฅผ ์ข€ ๋” ํšจ๊ณผ, ํšจ์œจ์ ์œผ๋กœ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๋„๋Š” ๋ฌด์ธ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์—๋„ ์ ์šฉ๋˜๊ณ  ์žˆ์œผ๋ฉฐ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๊ฐ€ ์ด์— ํ•ด๋‹น๋œ๋‹ค. ๋‚ ๊ฐœ์ง“ ๋น„ํ–‰์ฒด๋Š” ๋‚ ๊ฐœ์˜ ๋ฐ˜๋ณต์šด๋™์„ ํ†ตํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ํ†ตํ•ด ๋น„ํ–‰ํ•˜๋Š” ๋น„ํ–‰์ฒด๋กœ ์ผ๋ฐ˜์ ์œผ๋กœ ๊ผฌ๋ฆฌ๋‚ ๊ฐœ์˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ์ƒˆ๋ฅผ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)์™€ ๊ณค์ถฉ์„ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ๊ฒฝ์šฐ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๊ณ , ํฌ๊ธฐ๊ฐ€ ์ž‘๊ณ  ๋ฌด๊ฒŒ๊ฐ€ ๊ฐ€๋ฒผ์›Œ ๊ณต๊ธฐ์ €ํ•ญ๋„ ์ค„์ผ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‚ ๋ ตํ•œ ๋น„ํ–‰์ด ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์žฅ์ ์ด ์žˆ์ง€๋งŒ, ์ˆ˜๋™ ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•œ ์ œ์–ด๋ฉด์ด ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๊ณ  ์ถ”๋ ฅ ์ƒ์„ฑ๊ณผ ๋™์‹œ์— 3์ถ•์œผ๋กœ์˜ ์ œ์–ด ๋ชจ๋ฉ˜ํŠธ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ๋ณต์žกํ•œ ๋งค์ปค๋‹ˆ์ฆ˜์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ €์ž์˜ ๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์‚ฌ๋ก€๋ฅผ ํ† ๋Œ€๋กœ ์ž์œจ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์š”์†Œ๊ธฐ์ˆ ๋“ค๊ณผ ์ดˆ๊ธฐ ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ํ•ด๋‹น ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์ €์ž๋Š” ์‹œ์ค‘์—์„œ ํŒ๋งค๋˜๊ณ  ์žˆ๋Š” RC์žฅ๋‚œ๊ฐ์„ ํ™œ์šฉํ•ด 30 gram ์ดํ•˜์˜ ๋ฌด๊ฒŒ๋ฅผ ๊ฐ€์ง€๊ณ  30cm3 ์ด๋‚ด์˜ ํฌ๊ธฐ๋ฅผ ๊ฐ€์ง€๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœ์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ๊ตฌ๋™๊ธฐ๋กœ DC ๋ชจํ„ฐ์™€ ์„œ๋ณด๋ชจํ„ฐ๊ฐ€ ์กด์žฌํ•˜๋ฉฐ, DC ๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์„ ์ผ์œผํ‚ค๋Š” ๊ธฐ์–ด ๋ฐ•์Šค๋ฅผ ์ž‘๋™์‹œ์ผœ ๋น„ํ–‰์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ง€ํƒฑํ•˜๊ธฐ ์œ„ํ•œ thrust๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ roll์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ moment ์ƒ์„ฑ์— ๊ด€์—ฌํ•˜๋ฉฐ, ์„œ๋ณด๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ขŒ์šฐ thrust์˜ ๋ฐฉํ–ฅ์„ ์กฐ์ ˆํ•˜์—ฌ pitch ์™€ yaw ์ถ•์œผ๋กœ์˜ ๋ชจ๋ฉ˜ํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ์•„๋‘์ด๋…ธ ๋ณด๋“œ ๊ธฐ๋ฐ˜์˜ ๋งˆ์ดํฌ๋กœํ”„๋กœ์„ธ์„œ๊ฐ€ ํƒ‘์žฌ๋˜์–ด ์žˆ์–ด ๋น„ํ–‰์ฒด๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•œ ์‹ ํ˜ธ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋ธ”๋ฃจํˆฌ์Šค ํ†ต์‹  ๋ชจ๋“ˆ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์™ธ๋ถ€์™€ ํ†ต์‹  ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ตฌ๋™๊ธฐ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์˜ ๋ฌผ๋ฆฌ๋Ÿ‰์„ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‚ ๊ฐฏ์ง“ ๋ฉ”์ปค๋‹ˆ์ฆ˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ์ธก์ •ํ•˜๋Š” ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ธก์ •์‹คํ—˜์„ ํ†ตํ•ด DC๋ชจํ„ฐ ์ž…๋ ฅ ๋Œ€๋น„ thrust ํฌ๊ธฐ, ์„œ๋ณด๋ชจํ„ฐ command ์ž…๋ ฅ ๋Œ€๋น„ moment ํฌ๊ธฐ ๋“ฑ์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ณต์ค‘์— ๋„์šธ ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํ•œ ํฌ๊ธฐ์˜ thrust๋ฅผ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ ์ž์„ธ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฉ˜ํŠธ ์ƒ์„ฑ ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” 3์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด roll, pitch, yaw ์ถ• ๋ฐฉํ–ฅ์œผ๋กœ ๋น„ํ–‰์ฒด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜๊ณผ ํšŒ์ „ ์šด๋™๊ณผ ๊ด€๋ จํ•œ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ–ˆ์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์•ˆ์ •ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” PID ์ œ์–ด๊ธฐ ํ˜•ํƒœ์˜ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๋น„ํ–‰์ฒด์˜ ๊ถค์ ์ถ”์ข… ์ œ์–ด๋ฅผ ์œ„ํ•ด ๋‚ด๋ถ€์˜ ์ž์„ธ ์ œ์–ด๊ธฐ์— ๋น„ํ–‰์ฒด์˜ ์œ„์น˜๋ฅผ ํ† ๋Œ€๋กœ ๊ณ„์‚ฐ๋˜๋Š” ์ถ”๊ฐ€์ ์ธ ์™ธ๋ถ€ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์—ฌ ์ด์ค‘๋ฃจํ”„ ์ œ์–ด๊ธฐ ํ˜•ํƒœ๋ฅผ ์ ์šฉ์‹œ์ผœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ ์ œ์–ด์™€ ๊ถค์  ์ถ”์ข… ์ œ์–ด๊ฐ€ ์ด๋ฃจ์–ด์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœํ•œ ๋น„ํ–‰์ฒด์™€ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๋Š” ์„ฑ๋Šฅ์„ ๋‚ด๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ž์ด๋กœ ์‹คํ—˜์žฅ์น˜๋ฅผ ์ œ์ž‘ํ•˜์—ฌ ์ž์„ธ ์ œ์–ด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ•ด๋‹น ์‹คํ—˜์žฅ์น˜๋Š” roll, pitch, yaw ์ถ•์œผ๋กœ ํšŒ์ „์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ ์‹คํ—˜์žฅ์น˜ ์ž์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ค„์ด๊ธฐ ์œ„ํ•ด MDF ์†Œ์žฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌ์กฐ๋ฌผ๋ฅผ ๋งŒ๋“ค์—ˆ๋‹ค. roll, pitch, yaw 3์ถ•์ด ๊ฐ๊ฐ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์–ดํ•˜๋Š” ๊ฒƒ๊ณผ 3์ถ•์„ ๋™์‹œ์— ์ œ์–ดํ•˜๋Š” 2๊ฐ€์ง€ ์ƒํ™ฉ์„ ๊ณ ๋ คํ•˜์˜€์œผ๋ฉฐ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ํ•ด๋‹น ์‹คํ—˜ ์žฅ์น˜ ๋‚ด๋ถ€์—์„œ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๊ฒŒ ์ œ์–ด ์„ฑ๋Šฅ์„ ๋ณด์ด๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ถค์  ์ถ”์ข…์ œ์–ด๋ฅผ ์œ„ํ•ด์„œ๋Š” 2๊ฐ€์ง€ ๋น„ํ–‰ ์ƒํ™ฉ์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ์ฒœ์žฅ๊ณผ ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ์‹ค์„ ์—ฐ๊ฒฐํ•˜์—ฌ 2D ํ‰๋ฉด์ƒ์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ฃผ์›Œ์ง„ ๊ถค์ ์— ๋”ฐ๋ผ ์›€์ง์ด๋Š”์ง€, ๋‘ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ํ—ฌ๋ฅจ์ด ์ฃผ์ž…๋œ ํ’์„ ์„ ์—ฐ๊ฒฐ์‹œ์ผœ 3D ๊ณต๊ฐ„์ƒ์—์„œ ์ฃผ์›Œ์ง„ ๊ถค์ ์„ ๋”ฐ๋ผ ์ถ”์ข… ๋น„ํ–‰ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. ๋‘ ๊ฐ€์ง€ ์ƒํ™ฉ์—์„œ ๋ชจ๋‘ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ถค์ ์„ ๋น„ํ–‰์ฒด๊ฐ€ ์ž˜ ์ถ”์ข…ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋์œผ๋กœ, ์™ธ๋ถ€ ์žฅ์น˜(์‹ค, ํ’์„ )๋ฅผ ์ œ๊ฑฐํ•˜์—ฌ ๊ณต์ค‘์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ, 15์ดˆ๊ฐ€๋Ÿ‰ 1m3 ๊ณต๊ฐ„ ๋‚ด์—์„œ ์ œ์ž๋ฆฌ ๋น„ํ–‰์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค.Flapping wing micro air vehicles (FWMAVs) that generate thrust and lift by flapping their wings are regarded as promising flight vehicles because of their advantages in terms of similar appearance and maneuverability to natural creatures. Reducing weight and air resistance, insect-inspired tailless FWMAVs are an attractive aerial vehicle rather than bird-inspired FWMAVs. However, they are challenging platforms to achieve autonomous flight because they have insufficient control surfaces to secure passive stability and a complicated wing mechanism for generating three-axis control moments simultaneously. In this thesis, as preliminary autonomous flight research, I present the study of an attitude regulation and trajectory tracking control of a tailless FWMAV developed. For these tasks, I develop my platform, which includes two DC motors for generating thrust to support its weight and servo motors for generating three-axis control moments to regulate its flight attitude. First, I conduct the force and moment measurement experiment to confirm the magnitude and direction of the lift and moment generated from the wing mechanism. From the measurement test, it is confirmed that the wing mechanism generates enough thrust to float the vehicle and control moments for attitude regulation. Through the dynamic equations in the three-axis direction of the vehicle, a controller for maintaining a stable attitude of the vehicle can be designed. To this end, a dynamic equation related to the rotational motion in the roll, pitch, and yaw axes is derived. Based on the derived dynamic equations, we design a proportional-integral-differential controller (PID) type controller to compensate for the attitude of the vehicle. Besides, we use a multi-loop control structure (inner-loop: attitude control, outer-loop: position control) to track various trajectories. Simulation results show that the designed controller is effective in regulating the platforms attitude and tracking a trajectory. To check whether the developed vehicle and the designed controller are operating effectively to regulate its attitude, I design a lightweight gyroscope apparatus using medium-density-fiberboard (MDF) material. The rig is capable of freely rotating in the roll, pitch, and yaw axes. I consider two situations in which each axis is controlled independently, and all axes are controlled simultaneously. In both cases, attitude regulation is properly performed. Two flight situations are considered for the trajectory tracking experiment. In the first case, a string connects between the ceiling and the top of the platform. In the second case, the helium-filled balloon is connected to the top of the vehicle. In both cases, the platform tracks various types of trajectories well in error by less than 10 cm. Finally, an experiment is conducted to check whether the tailless FWMAV could fly autonomously in place by removing external devices (string, balloon), and the tailless FWMAV flies within 1 m^3 space for about 15 seconds1.Introduction 1 1.1 Background & Motivation 1 1.2 Literature review 3 1.3 Thesis contribution 7 1.4 Thesis outline 8 2.Design of tailless FWMAV 13 2.1 Platform appearance 13 2.2 Flight control system 17 2.3 Principle of actuator mechanism 18 3.Force measurement experiment 28 3.1 Measurement setup 28 3.2 Measurement results 30 4.Dynamics & Controller design 37 4.1 Preliminary 37 4.2 Dynamics & Attitude control 39 4.2.1 Roll direction 41 4.2.2 Pitch direction 43 4.2.3 Yaw direction 45 4.2.4 PID control 47 4.3 Trajectory tracking control 48 5.Attitude regulation experiments 50 5.1 Design of gyroscope testbed 50 5.2 Experimental environment 52 5.3 Roll axis free 53 5.3.1 Simulation 54 5.3.2 Experiment 55 5.4 Pitch axis free 56 5.4.1 Simulation 57 5.4.2 Experiment 58 5.5 Yaw axis free 59 5.5.1 Simulation 59 5.5.2 Experiment 60 5.6 All axes free 60 5.6.1 Simulation 60 5.6.2 Experiment 61 5.7 Design of universal joint testbed & Experiment 64 6.Trajectory tracking 68 6.1 Simulation 68 6.2 Preliminary 69 6.3 Experiment: Tied-to-the-ceiling 70 6.4 Experiment: Hung-to-a-balloon 71 6.5 Summary 72 6.6 Hovering flight 73 7.Conclusion 83 A Appendix: Wing gearbox 85 A.1 4-bar linkage structure 85 B Appendix: Disturbance observer (DOB) 87 B.1 DOB controller 87 B.2 Simulation 89 B.2.1 Step input 89 B.2.2 Sinusoid input 91 B.3 Experiment 92 References 95Docto
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