Proposal of Peristaltic Motion Type Duct Cleaning Robot with High Contraction Unit

Author(s):  
Fumio ITO ◽  
Takahiko KAWAGUCHI ◽  
Masashi KAMATA ◽  
Yasuyuki YAMADA ◽  
Taro NAKAMURA
Author(s):  
Myeong In Seo ◽  
Woo Jin Jang ◽  
Junhwan Ha ◽  
Kyongtae Park ◽  
Dong Hwan Kim

This study introduces the control method of duct cleaning robot that enables real-time position tracking and self-driving over L-shaped and T-shaped duct sections. The developed robot has three legs and is designed to flexibly respond to duct sizes. The position of the robot inside the duct is identified using the UWB communication module and the location estimation algorithm. Although UWB communication has relatively large distance error within the metal, the positional error was reduced by introducing appropriate filters to estimate the robot position accurately. TCP/IP communication allows commands to be sent between the PC and the robot and to receive live images of the camera attached to the robot. Using Haar-like and classifiers, the robot can recognize the type of duct that is difficult to overcome, such as L-shaped and T-shaped duct, and it moves successfully inside the duct according to the corresponding moving algorithms.


2019 ◽  
Vol 31 (6) ◽  
pp. 781-793
Author(s):  
Fumio Ito ◽  
Takahiko Kawaguchi ◽  
Yasuyuki Yamada ◽  
Taro Nakamura ◽  
◽  
...  

This paper describes a method to increase both the cleaning performance and speed of a peristaltic duct-cleaning robot, besides the cleaning of a real house duct. Duct piping ventilation is an important component for safeguarding indoor human health. However, dust accumulates inside such ducts during long-term use of ventilation systems. This dust leads to the generation of bacteria, dispersal of which can cause serious human health problems. Therefore, it is necessary to clean such ducts. The ducts used in factories, for example, have a large cross-sectional area and so are easy to clean by conventional duct-cleaning methods. However, as housing ducts have a small cross-sectional area and many curves, they are difficult to clean via the passive method of inserting a cleaning tool through the duct ports. For this reason, the authors attempted to develop a method of duct cleaning using a robot that imitates the peristaltic movement of earthworms. Herein, the authors examine the type and mounting position of the cleaning brush that produces the optimum cleaning efficiency. From this, we confirmed the duct cleanability of the peristaltic robot.


2015 ◽  
Vol 14 ◽  
pp. 64-69 ◽  
Author(s):  
Chong Meng ◽  
Qingqin Wang ◽  
Yehui Song ◽  
Yong Cao ◽  
Naini Zhao ◽  
...  

Author(s):  
Yuki TANISE ◽  
Kosuke TANIGUCHI ◽  
Shota YAMAZAKI ◽  
Masashi KAMATA ◽  
Yasuyuki YAMADA ◽  
...  

2012 ◽  
Vol 241-244 ◽  
pp. 1904-1907
Author(s):  
Zhi Wei Zhou ◽  
Wei Sun ◽  
Cong Wang ◽  
Qian Zhu

To improve the joint control of the air-duct cleaning robot, an advanced control strategy of the brushless DC motor has been proposed to substitute the traditional PID control. The novel optimization algorithm based on the improved particle swarm optimization (PSO) is used to modify the normal incomplete derivative PID algorithm and globally optimize its parameters. Simulation results show that the proposed algorithm achieves a well control performance and can effectively satisfy the high accuracy and real-time requirement of the air-duct cleaning robot.


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