Yu-Chi Pu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Yu-Chi Pu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chao-Lin Kuo
Department of Maritime Information and Technology, National Kaohsiung University of Science and Technology, Kaohsiung City 80543, Taiwan
2 shared publications Ching-Yang Chen
Natl Kaohsiung Univ Sci & Technol, Dept Maritime Informat & Technol, Kaohsiung 80543, Taiwan
1 shared publication- Chun Pong Wong
Department of Shipping Technology, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
1 shared publication Pei-Chun You
1 shared publication- Qi-An Chen
Department of Maritime Information & Technology, National Kaohsiung University of Science and Technology, Kaohsiung 80543, Taiwan
1 shared publication
Latest Publications
- Open Access
Position Tracking of an Underwater Robot Based on Floating-Downing PI Control
A remotely operated underwater vehicle (ROV) is crucial in ocean exploration and underwater missions. An ROV is manipulated through a tether cable by an operator on shore or mother boat, and it can be used for underwater observations or as a robotic arm to take samples back. The position control and movement of an ROV are not stable due to buoyancy, ocean current, and surge waves. To overcome the influence of these disturbances on the ROV, we propose a switch proportional-integral (PI) controller combined with a buck-boost converter (BBC) to process the ROV’s position following. In this paper, a six-axis ROV was designed and implemented. The ROV controller was designed by a NI-roboRIO-based embedded system, which includes a pressure sensor, an accelerometer, six thrusters, and two webcams. The LabVIEW human–machine interface was designed to integrate the control system, sensors, and thrusters. The PI controller was employed to perform the station-keeping and trajectory following. Different PI control parameters were used for the ROV floating-up and diving-down in the sine-wave trajectory following. Experimental results showed that the proposed switch PI control scheme is robust for the position tracking of the underwater robot. The contribution of this study is that we proposed a novel switch proportional-integral controller combined with a buck-boost converter and applied the controller to a natural underwater vehicle, not a mathematical model. The experiments showed that the proposed controller can resist the disturbance of the aquatic environment.
Open AccessPosition Tracking of an Underwater Robot Based on Floating-Downing PI Control
A remotely operated underwater vehicle (ROV) is crucial in ocean exploration and underwater missions. An ROV is manipulated through a tether cable by an operator on shore or mother boat, and it can be used for underwater observations or as a robotic arm to take samples back. The position control and movement of an ROV are not stable due to buoyancy, ocean current, and surge waves. To overcome the influence of these disturbances on the ROV, we propose a switch proportional-integral (PI) controller combined with a buck-boost converter (BBC) to process the ROV’s position following. In this paper, a six-axis ROV was designed and implemented. The ROV controller was designed by a NI-roboRIO-based embedded system, which includes a pressure sensor, an accelerometer, six thrusters, and two webcams. The LabVIEW human–machine interface was designed to integrate the control system, sensors, and thrusters. The PI controller was employed to perform the station-keeping and trajectory following. Different PI control parameters were used for the ROV floating-up and diving-down in the sine-wave trajectory following. Experimental results showed that the proposed switch PI control scheme is robust for the position tracking of the underwater robot. The contribution of this study is that we proposed a novel switch proportional-integral controller combined with a buck-boost converter and applied the controller to a natural underwater vehicle, not a mathematical model. The experiments showed that the proposed controller can resist the disturbance of the aquatic environment.
- 1 June 2021
- Published by MYU K.K. in Sensors and Materials
- Vol. 33 (6) , 1817-1828
Application of Embedded Sensor Systems to Improve Safety for Container Ships in Cargo Loading or Unloading Operations
- 1 June 2021
- Published by MYU K.K. in Sensors and Materials
- Vol. 33 (6) , 1817-1828
Application of Embedded Sensor Systems to Improve Safety for Container Ships in Cargo Loading or Unloading Operations
- 1 October 2018
- Published by Elsevier in Applied Mathematical Modelling
- Vol. 62, 654-663
Indoor positioning system based on BLE location fingerprinting with classification approach
- 1 October 2018
- Published by Elsevier in Applied Mathematical Modelling
- Vol. 62, 654-663
Indoor positioning system based on BLE location fingerprinting with classification approach