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长春光学精密机械与物... [2]
自动化研究所 [1]
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OAI收割 [3]
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会议论文 [2]
期刊论文 [1]
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2018 [1]
2010 [1]
2009 [1]
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Editorial for Special Issue on Intelligent Control and Computing in Advanced Robotics
期刊论文
OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 513-514
作者:
Min Tan
;
Yu Sun
;
Jun-Zhi Yu
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/02/23
Robots
mechatronic systems
intelligent control.
Slip motor speed control system based on LPC2136 and low cost CMOS camera (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:
Yang S.-W.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
In this paper
Slip motor speed is in the precision of 1 percent in scope of 0 to 1400rpm. Practical application shows that the system is reliable
designed the slip motor speed control system for packing rubber strip which is used in plastic steel door and window. The system
stable and higher precision of control. The system design provides reference for similar control system and builds the basis for the design of intelligent control system. 2010 IEEE.
32-bit embedded microprocessor LPC2136 as the control core
PWM speed control
velocity feedback from tachogenerator
rubber strip position feedback from the CMOS camera
has proved that CMOS camera's image quality meets the engineering requirement
Intelligent traffic control system based on DSP and Nios II (EI CONFERENCE)
会议论文
OAI收割
2009 International Asia Conference on Informatics in Control, Automation, and Robotics, CAR 2009, February 1, 2009 - September 2, 2009, Bangkok, Thailand
作者:
Liu W.
;
Zheng X.
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  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
In view of domestic traffic
the traffic flow is increasing rapidly recent years
whereas the traffic control is deficient. This paper presents a design of intelligent traffic control system based on DSP and Nios II. Using Dual-CPU
Intelligent Traffic Control System combined with logic control in FPGA implements kinds of functions
which include crossphase adjustment
exchanging and establishing related information
live human-computer interaction and remote control etc. The system works mostly at the mode of timing and multiple phases according to the user demands dynamically
thus it breaks through the bottleneck of traditional traffic signal controller
and can accomplish the control in complicated and diversified traffic. This paper gives the realization of hardware system as well as the software system. The experiment results show that the Intelligent Traffic Control System can completely meet the requirements of modern traffic control. 2009 IEEE.