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Prediction Method of an In-pipe robot’s Orientation to pass in a Curved Pipe
Jungwan Park,Sangyong Park,Dongwoo Lee,Hyunseok Yang 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Pipe systems are infrastructure of a modern society. Since inner conditions of pipe systems could affect quality of transferring mass, inspecting and maintaining pipe system is an important issue. Many in-pipe robots have been introduced and are under developing to resolve the problem. Pipe systems are composed of different shaped pipes such as straight, curved and branch pipes. Therefore, moving algorithms are introduced. In order to move in a bent pipe, detecting the orientation of an in-pipe robot is an important problem. In this paper, we propose a predicting method of in-pipe robot’"s orientation, and verify it by experiments
Normal-Force Control for an In-Pipe Robot According to the Inclination of Pipelines
Jungwan Park,Dongjun Hyun,Woong-Hee Cho,Tae-Hyun Kim,Hyun-Seok Yang IEEE 2011 IEEE transactions on industrial electronics Vol.58 No.12
<P>To move freely, in-pipe robots must be able to adapt to the various geometric changes of pipes. Previously, we described an in-pipe robot that can adapt to changes in diameter and curvature of center curves. This robot is able to estimate the forces exerted on the inner surface of the pipes and balance its posture inside the pipe using angular sensors attached to its rotational joints. In this paper, a method is proposed to estimate the relative attitude between the robot's main body and the pipe using the angular sensors attached to a pantograph mechanism. The use of angular sensors makes the structure of the robot simpler and more effective than the use of force or vision sensors because the normal forces and attitude can be estimated from measured angle information. This geometric estimation of attitude relative to the pipes enables the robot to recognize the inclination of the pipes. The PAROYS-II robot can control its normal force according to the variation in pipe inclination. Thus, the proposed method could reduce power consumption and stress on the robot's parts. The algorithm has been validated by multiple experiments.</P>
Jungwan Park,양현석 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11
This paper presents a study on the dynamic model and robust controller design for enhancing ride comfort in railway vehicles. An analytical model is introduced, encompassing the lateral, roll, and yaw motions of wheelsets, bogies, and the car body, while incorporating an efficient method for computing wheel-rail interactions. Rail irregularities and their impact on vibration excitation are also examined. A robust controller design methodology is proposed to address uncertainty and ride comfort quality, considering the significant variations in mass and moment of inertia experienced by railway vehicles. Through simulations, the designed controller consistently demonstrates an approximate 2 dB improvement in ride comfort across different levels of uncertainty. Future research directions include developing controller designs considering actuator response characteristics and identifying additional conditions for practical implementation. This study contributes to understanding railway vehicle dynamics and lays the foundation for effective control strategies to enhance ride comfort while accommodating uncertain operating conditions.
Pipeline mapping with crawler-type in-pipe robot feature
Jungwan Park,양현석 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.10
In-pipe robots have become popular, allowing for non-destructive testing, visual inspection, and cleaning. In-pipe inspection is crucial for maintaining pipeline integrity, but it is difficult for humans to access pipelines and perform checks. This article focuses on an in-pipe robot navigating various pipeline structures and diameters. It consists of a center module, a tracking module, and an active pantograph mechanism. The hardware components, such as the motorized gear train, screw, pantograph mechanism, springs, track module, and angular sensors, are discussed. Additionally, the control methods employed by the robot, including normal force control and posture control, are explained. Finally, the tracking algorithms used to estimate the robot's position and direction within the pipeline are presented.