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    ์™ธ๋ฒฝ์ฒญ์†Œ๋กœ๋ด‡์„ ์œ„ํ•œ ์™ธ๋ž€ ๊ด€์ธก๊ธฐ ๊ธฐ๋ฐ˜์˜ ํž˜ ์ถ”์ข… ์ ์‘ํ˜• ์ž„ํ”ผ๋˜์Šค ์ œ์–ด๊ธฐ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2017. 8. ๊น€์ข…์›.๊ณ ์ธต๋นŒ๋”ฉ์€ ์ ์ฐจ ๋†’์•„์ง€๊ณ  ์žˆ๊ณ  ๊ทธ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์ง€๋งŒ ๊ฑด๋ฌผ ์œ ์ง€๋ณด์ˆ˜๋ฅผ ์œ„ํ•ด ํ•„์š”ํ•œ ์™ธ๋ฒฝ ์ฒญ์†Œ๋Š” ์ž‘์—…์ž์˜ ์ˆ˜์ž‘์—…์— ์˜์กดํ•˜๊ณ  ์žˆ๋‹ค. ์ž‘์—…์ž๋Š” ์œ„ํ—˜์— ํ•ญ์ƒ ๋…ธ์ถœ๋˜์–ด ์žˆ์œผ๋ฉฐ ๋งค๋…„ ์ธ๋ช…ํ”ผํ•ด๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ž‘์—…์ž์˜ ์•ˆ์ „์„ ๋ณด์žฅํ•˜๊ณ  ์ž‘์—…์˜ ํšจ์œจ์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด ์™ธ๋ฒฝ ์ฒญ์†Œ ์ž‘์—…์„ ๋กœ๋ด‡์œผ๋กœ ๋Œ€์ฒดํ•˜๊ณ ์ž ํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ๊พธ์ค€ํžˆ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์–‘ํ•œ ์™ธ๋ฒฝ์˜ ํ˜•์ƒ์— ์ ์šฉ ๊ฐ€๋Šฅํ•˜๊ณ  ์ž‘์—…์˜ ํ™•์žฅ์ด ์šฉ์ดํ•œ ๋ชจ๋“ˆํ˜• ๊ตฌ์กฐ์˜ ์™ธ๋ฒฝ ์ฒญ์†Œ ๋กœ๋ด‡์„ ์ œ์‹œํ•œ๋‹ค. ๋“ฑ๋ฐ˜ ๋กœ๋ด‡ ํ”Œ๋žซํผ์€ ์™ธ๋ฒฝ์— ๋ถ€์ฐฉ๋˜์–ด ๋“ฑํ•˜๊ฐ•์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ชจ๋“ˆํ˜• ๊ฒฐํ•ฉ๋ถ€๋ฅผ ํ†ตํ•ด ์ฒญ์†Œ ์œ ๋‹›์˜ ํƒˆ๋ถ€์ฐฉ์ด ์šฉ์ดํ•œ ๊ตฌ์กฐ์ด๋‹ค. ์ฒญ์†Œ์œ ๋‹›์€ ๊ฑด์‹ ์ฒญ์†Œ ์œ ๋‹›๊ณผ ๋ฐ˜์Šต์‹ ์ฒญ์†Œ ์œ ๋‹› ๋‘ ๊ฐ€์ง€๊ฐ€ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ ์ฒญ์†Œ๋ฉด์˜ ์ข…๋ฅ˜, ์˜ค์—ผ๋„์— ๋”ฐ๋ผ ๊ต์ฒดํ•˜์—ฌ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒญ์†Œ์œ ๋‹›์€ ๋ณผ์Šคํฌ๋ฅ˜ ๋งค์ปค๋‹ˆ์ฆ˜์„ ํ†ตํ•ด ๋“ฑ๋ฐ˜ ๋ฐฉํ–ฅ์˜ ์ˆ˜์งํ•œ ๋ฉด์œผ๋กœ 2 ์ž์œ ๋„์˜ ์›€์ง์ž„์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฒฝ๋ฉด๊ณผ์˜ ๊ฑฐ๋ฆฌ๋‚˜ ๊ฐ๋„๊ฐ€ ๋‹ฌ๋ผ์งˆ ๋•Œ ์ ์‘์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ์ฒญ์†Œ์œ ๋‹› ์ž‘์—…์˜์—ญ์˜ ์–‘ ๋์—๋Š” ๋ฐ˜๋ ฅ์„ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์„ผ์„œ๊ฐ€ ์žฅ์ฐฉ๋˜์—ˆ์œผ๋ฉฐ ์ฒญ์†Œ ์„ฑ๋Šฅ์„ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ฐ˜๋ ฅ์„ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ํž˜ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ํ•„์ˆ˜์ ์ด๋‹ค. ์ฒญ์†Œ์œ ๋‹›์˜ ํž˜ ์ œ์–ด๋Š” ์œ„์น˜ ๊ธฐ๋ฐ˜์˜ ๊ฐ„์ ‘ ์ œ์–ด ๋ฐฉ์‹์ธ ์ž„ํ”ผ๋˜์Šค ์ œ์–ด ๊ตฌ์กฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ „์ฒด ์ œ์–ด๊ธฐ๋Š” ํž˜ ์ถ”์ข… ์ž„ํ”ผ๋˜์Šค ์ œ์–ด๊ธฐ์— ์™ธ๋ž€ ๊ด€์ธก๊ธฐ์™€ ์Šฌ๋ผ์ด๋”ฉ ๋ชจ๋“œ ์ œ์–ด๊ธฐ๋ฅผ ๊ฒฐํ•ฉํ•˜์˜€๋‹ค. ์ œ์–ด๊ธฐ ๋ชฉํ‘œ๋Š” ๋“ฑ๋ฐ˜ ๋กœ๋ด‡ ํ”Œ๋žซํผ๊ณผ ๋ฒฝ๋ฉด๊ฐ„์˜ ๊ฑฐ๋ฆฌ ๋ณ€ํ™”์™€ ์ฒญ์†Œ์œ ๋‹› ๋ธŒ๋Ÿฌ์‰ฌ์˜ ํšŒ์ „์œผ๋กœ ์ธํ•ด ์ƒ๊ธฐ๋Š” ์™ธ๋ž€, ์‹œ์Šคํ…œ ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ์˜ค์ฐจ๋กœ ์ธํ•ด ์ƒ๊ธฐ๋Š” ์™ธ๋ž€์„ ๋ณด์ƒํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์™ธ๋ž€ ๊ด€์ธก๊ธฐ๋Š” ์ฒญ์†Œ์œ ๋‹›๊ณผ ์ฃผ์œ„ ํ™˜๊ฒฝ๊ณผ์˜ ์ƒํ˜ธ์ž‘์šฉ ๋ชจ๋ธ๋ง์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ชฉํ‘œ ํž˜๊ณผ ์‹ค์ œ ํž˜๊ณผ์˜ ์ฐจ์ด์— ๋Œ€ํ•œ ๋ณด์ƒ ์ž…๋ ฅ์„ ๋„์ถœํ•˜๊ณ  ์Šฌ๋ผ์ด๋”ฉ ๋ชจ๋“œ ์ œ์–ด๋Š” ๋ชจ๋ธ๋ง ๋˜์ง€ ์•Š์€ ์™ธ๋ž€์— ๋Œ€ํ•ด์„œ ๋ณด์ƒํ•˜๋Š” ์—ญํ• ์„ ํ•œ๋‹ค. ์„ค๊ณ„๋œ ์ „์ฒด ์ œ์–ด๊ธฐ์— ๋Œ€ํ•ด์„œ ์•ˆ์ •์„ฑ์„ ํ•ด์„ํ•˜๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•˜์—ฌ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ์˜ ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆํ•œ๋‹ค. ์‹ค์ œ ์™ธ๋ฒฝ์—์„œ์˜ ์ž‘์—…์„ ์žฌํ˜„ํ•˜๊ธฐ ์œ„ํ•œ ํ…Œ์ŠคํŠธ๋ฒค์น˜๋ฅผ ์ œ์ž‘ํ•˜๊ณ  ์‹ค์ œ ์ฒญ์†Œ์œ ๋‹›์— ์ ์šฉํ•˜์—ฌ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•จ์œผ๋กœ์จ ์„ค๊ณ„๋œ ์ œ์–ด๊ธฐ์˜ ์™ธ๋ž€ ์ œ๊ฑฐ ์„ฑ๋Šฅ์„ ํ™•์ธํ•˜์˜€๋‹ค.As a lot of high-rise buildings have been recently constructed, demand of systematic and regular operations for their maintenances/inspections has been increasing. Among those operations, wall-cleaning is the most popular and frequently required task. Unfortunately, since most of wall-cleanings are performed by human operators using ropes or lifts, there is always a possibility of unexpected accidents. These accidents can be the result of workers carelessness or undesired disturbances like winds and obstacles on walls. Therefore many researches have been going on to replace human workers by robots, developing various types of mobile platforms that can clean up the wall of building perfectly and safely. This paper presents a modular wall cleaning robot that can be applied to various building shapes and can extend its operating function. The wall-climbing platform can climb up/down various types of walls with the help of the rope ascender and two propeller thrusters. And the cleaning unit can be easily attached and detached through the modular coupling part. Two types of cleaning units have been developed, a dry type cleaning unit and a semi-wet type cleaning unit, which can be replaced according to the types of the surface and the level of pollutant. The cleaning unit has two degrees of freedom on the perpendicular plane to the climbing direction. And the cleaning unit can adjust angle and distance to the wall by ball screw mechanism. In order to maintain the constant cleaning performance, a force tracking control algorithm is applied. Therefore, a sensor measuring the reaction force is mounted on both ends of the cleaning unit. The force control of the cleaning unit uses impedance control. Overall control system consists of position-based force tracking impedance controller, disturbance observer and sliding mode controller. The objective of these controllers is to compensate the disturbance, caused by change of distance between the climbing robot platform and the wall, rotation of the cleaning unit brush and the system parameter error. The disturbance observer compensation control input is calculated from the difference of desired force and actual force based on the interaction dynamic model between the cleaning unit and the surrounding condition. And the sliding mode control compensates the disturbance from mismatched uncertainties. The stability analysis of overall control system is derived and the performance analysis of the controller is carried out through simulations. The performance and stability of the proposed controller is verified with experiments in the test bench reflecting the actual field condition.Abstract i Contents iii List of Figures vii 1. Introduction 1 1.1 Motivation 1 1.2 Previous research 2 1.3 Objective and scope 5 2. Development of ROPE RIDE 7 2.1 ROPE RIDE concept 7 2.2 Mechanical design 8 2.2.1 Wall climbing platform 8 2.2.2 Modular cleaning unit 10 2.2.3 Hardware architectures of wall-climbing platform and cleaning unit 14 2.3 Optimization of operating conditions for wall-claeaning unit 16 2.4 Experiments 23 3. Modeling of modular cleaning unit 29 3.1 Description of kinematics model 29 3.2 Description of dynamic model 32 4. Design of force tracking algorithm 34 4.1 Position-based force tracking impedance control 34 4.1.1 Position-based force tracking impedance controller design 37 4.1.2 Stability and performance analysis 41 4.1.3 Force tracking impedance controller gain tuning using root locus 42 4.2 Disturbance Compensation algorithm 45 4.2.1 Disturbance observer design 45 4.2.1.1 System identification of cleaning unit 48 4.2.1.2 Q-filter design of disturbance observer 51 4.2.1.3 Stability analysis of disturbance observer 52 4.2.1.4 Stability analysis of whole control system 54 4.2.1.5 Performance analysis 57 4.2.2 Sliding mode controller design 60 4.2.2.1 Sliding surface design 60 4.2.2.2 Stability analysis 62 5. Simulations and Experiments 64 5.1 Measurement of disturbances 64 5.1.1 Disturbance from external wall and robotic platform 64 5.1.2 Disturbance from cleaning unit 66 5.2 Simulations 69 5.3 Experiments 75 6. Conclusion 82 Bibliography 84 Abstract in Korean 86Docto

    Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems

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    Many components of existing civil infrastructure systems, such as road pavement, bridges, and buildings, are suffered from rapid aging, which require enormous nation\u27s resources from federal and state agencies to inspect and maintain them. Crack is one of important material and structural defects, which must be inspected not only for good maintenance of civil infrastructure with a high quality of safety and serviceability, but also for the opportunity to provide early warning against failure. Conventional human visual inspection is still considered as the primary inspection method. However, it is well established that human visual inspection is subjective and often inaccurate. In order to improve current manual visual inspection for crack detection and evaluation of civil infrastructure, this study explores the application of computer vision techniques as a non-destructive evaluation and testing (NDE&T) method for automated crack detection and quantification for different civil infrastructures. In this study, computer vision-based algorithms were developed and evaluated to deal with different situations of field inspection that inspectors could face with in crack detection and quantification. The depth, the distance between camera and object, is a necessary extrinsic parameter that has to be measured to quantify crack size since other parameters, such as focal length, resolution, and camera sensor size are intrinsic, which are usually known by camera manufacturers. Thus, computer vision techniques were evaluated with different crack inspection applications with constant and variable depths. For the fixed-depth applications, computer vision techniques were applied to two field studies, including 1) automated crack detection and quantification for road pavement using the Laser Road Imaging System (LRIS), and 2) automated crack detection on bridge cables surfaces, using a cable inspection robot. For the various-depth applications, two field studies were conducted, including 3) automated crack recognition and width measurement of concrete bridges\u27 cracks using a high-magnification telescopic lens, and 4) automated crack quantification and depth estimation using wearable glasses with stereovision cameras. From the realistic field applications of computer vision techniques, a novel self-adaptive image-processing algorithm was developed using a series of morphological transformations to connect fragmented crack pixels in digital images. The crack-defragmentation algorithm was evaluated with road pavement images. The results showed that the accuracy of automated crack detection, associated with artificial neural network classifier, was significantly improved by reducing both false positive and false negative. Using up to six crack features, including area, length, orientation, texture, intensity, and wheel-path location, crack detection accuracy was evaluated to find the optimal sets of crack features. Lab and field test results of different inspection applications show that proposed compute vision-based crack detection and quantification algorithms can detect and quantify cracks from different structures\u27 surface and depth. Some guidelines of applying computer vision techniques are also suggested for each crack inspection application

    Technology 2001: The Second National Technology Transfer Conference and Exposition, volume 2

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    Proceedings of the workshop are presented. The mission of the conference was to transfer advanced technologies developed by the Federal government, its contractors, and other high-tech organizations to U.S. industries for their use in developing new or improved products and processes. Volume two presents papers on the following topics: materials science, robotics, test and measurement, advanced manufacturing, artificial intelligence, biotechnology, electronics, and software engineering

    Cumulative index to NASA Tech Briefs, 1986-1990, volumes 10-14

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    Tech Briefs are short announcements of new technology derived from the R&D activities of the National Aeronautics and Space Administration. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This cumulative index of Tech Briefs contains abstracts and four indexes (subject, personal author, originating center, and Tech Brief number) and covers the period 1986 to 1990. The abstract section is organized by the following subject categories: electronic components and circuits, electronic systems, physical sciences, materials, computer programs, life sciences, mechanics, machinery, fabrication technology, and mathematics and information sciences

    Wings in Orbit: Scientific and Engineering Legacies of the Space Shuttle, 1971-2010

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    The Space Shuttle is an engineering marvel perhaps only exceeded by the station itself. The shuttle was based on the technology of the 1960s and early 1970s. It had to overcome significant challenges to make it reusable. Perhaps the greatest challenges were the main engines and the Thermal Protection System. The program has seen terrible tragedy in its 3 decades of operation, yet it has also seen marvelous success. One of the most notable successes is the Hubble Space Telescope, a program that would have been a failure without the shuttle's capability to rendezvous, capture, repair, as well as upgrade. Now Hubble is a shining example of success admired by people around the world. As the program comes to a close, it is important to capture the legacy of the shuttle for future generations. That is what "Wings In Orbit" does for space fans, students, engineers, and scientists. This book, written by the men and women who made the program possible, will serve as an excellent reference for building future space vehicles. We are proud to have played a small part in making it happen. Our journey to document the scientific and engineering accomplishments of this magnificent winged vehicle began with an audacious proposal: to capture the passion of those who devoted their energies to its success while answering the question "What are the most significant accomplishments?" of the longestoperating human spaceflight program in our nation s history. This is intended to be an honest, accurate, and easily understandable account of the research and innovation accomplished during the era

    Maintenance Management of Wind Turbines

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    โ€œMaintenance Management of Wind Turbinesโ€ considers the main concepts and the state-of-the-art, as well as advances and case studies on this topic. Maintenance is a critical variable in industry in order to reach competitiveness. It is the most important variable, together with operations, in the wind energy industry. Therefore, the correct management of corrective, predictive and preventive politics in any wind turbine is required. The content also considers original research works that focus on content that is complementary to other sub-disciplines, such as economics, finance, marketing, decision and risk analysis, engineering, etc., in the maintenance management of wind turbines. This book focuses on real case studies. These case studies concern topics such as failure detection and diagnosis, fault trees and subdisciplines (e.g., FMECA, FMEA, etc.) Most of them link these topics with financial, schedule, resources, downtimes, etc., in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs and downtime, etc., in a wind turbine. Advances in mathematics, models, computational techniques, dynamic analysis, etc., are employed in analytics in maintenance management in this book. Finally, the book considers computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques that are expertly blended to support the analysis of multi-criteria decision-making problems with defined constraints and requirements

    Infrastructure Design, Signalling and Security in Railway

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    Railway transportation has become one of the main technological advances of our society. Since the first railway used to carry coal from a mine in Shropshire (England, 1600), a lot of efforts have been made to improve this transportation concept. One of its milestones was the invention and development of the steam locomotive, but commercial rail travels became practical two hundred years later. From these first attempts, railway infrastructures, signalling and security have evolved and become more complex than those performed in its earlier stages. This book will provide readers a comprehensive technical guide, covering these topics and presenting a brief overview of selected railway systems in the world. The objective of the book is to serve as a valuable reference for students, educators, scientists, faculty members, researchers, and engineers

    Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994

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    The Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space (i-SAIRAS 94), held October 18-20, 1994, in Pasadena, California, was jointly sponsored by NASA, ESA, and Japan's National Space Development Agency, and was hosted by the Jet Propulsion Laboratory (JPL) of the California Institute of Technology. i-SAIRAS 94 featured presentations covering a variety of technical and programmatic topics, ranging from underlying basic technology to specific applications of artificial intelligence and robotics to space missions. i-SAIRAS 94 featured a special workshop on planning and scheduling and provided scientists, engineers, and managers with the opportunity to exchange theoretical ideas, practical results, and program plans in such areas as space mission control, space vehicle processing, data analysis, autonomous spacecraft, space robots and rovers, satellite servicing, and intelligent instruments

    Adaptive impedance control of a cleaning unit for a novel wall-climbing mobile robotic platform (ROPE RIDE)

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    Proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress

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    Published proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, hosted by York University, 27-30 May 2018
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