Robotic Cross-Lines Laser Indicator and Range Finder

2011 ◽  
Vol 311-313 ◽  
pp. 1594-1598
Author(s):  
June Wen Chen ◽  
Jing Bin Duan ◽  
Shih Jui Wu ◽  
Yi Shan Chen ◽  
Li An Chiu ◽  
...  

A novel robotic vision and control system using cross-lines laser indicator and range finder simultaneously is developed. This modular have fine crossed lines indication of 1.2mm sharpness at 5 m distance, and simultaneously ranging accuracy of 3 mm up to the range of 100 m. The theoretical derivation, CAD/CAM design, and lens design together with experimental results will be presented in detail.

2010 ◽  
Vol 97-101 ◽  
pp. 4324-4327
Author(s):  
Yong Lu Zhu ◽  
Yin Biao Guo ◽  
Xiao Long Ke ◽  
Lu Shuang Chen

In this paper, the necessary instrument and control system called the “Large Size Four-axis Measurement System” which used for measuring large size aspheric surface have been designed and established. Then the development of semi-meridian measurement method on basis of large size four-axis detection system has been reported. The measurement paths were planed and the measurement program was performed on the IPC. The method can significantly reduced the align error caused by the aspheric center which is not coincidence with the rotation platform center. With the measurement system, an aspheric surface was successfully measured; whose radius of semi-meridian was 55 mm. The experimental results show that the developed methods are simple and rapid. The measurement accuracy can satisfy requirement of aspheric surface.


Author(s):  
Nihar Deodhar ◽  
Christopher Vermillion

This paper presents a methodology for optimally fusing experiments and numerical simulations in the design of a combined plant and control system. The proposed methodology uses G-optimal Design of Experiments to balance the need for experimental data with the expense of collecting a multitude of experimental results. Specifically, G-optimal design is used to first select a batch of candidate experimental configurations, then determine which of those points to test experimentally and which to numerically simulate. The optimization process is carried out iteratively, where the set of candidate design configurations is shrunken at each iteration using a Z-test, and the numerical model is corrected according to the most recent experimental results. The methodology is presented on a model of an airborne wind energy system, wherein both the center of mass location (plant parameter) and trim pitch angle (controller parameter) are critical to system performance.


Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 36
Author(s):  
Sani Abba ◽  
Abubakar Mohammed Garba

This research paper presents the design and implementation of an internet of things-based (IoT) smart framework for human heartbeat rate monitoring and control system. A comprehensive study of various techniques and technologies that are used in controlling the heartbeat rate is explored. The proposed system was designed and implemented on a breadboard with the various system components that are assembled, connected and tasted. Experimental results obtained from the implemented prototype were found to be accurate, as the system was able to sense and read the heartbeat rate of its user and transmit the sensed data through the internet. The system components were soldered on a breadboard, and cased inside a plastic container with the heart pulse sensor stretched, so as to be clipped on the fingertip of the system’s user. Experimental results demonstrate that the resting heartbeat rate of children below the age of 17 is between 65 to 115 beats per minute (bpm) and the resting heartbeat rate of an adult between the ages of 17 to 60 is 60 to 100 bpm. In addition, the resting heartbeat rate of old people who are 60 years old and above, their heartbeat rate is between 65 to 120 bpm. These findings are in agreement with the state-of-the-art in the medical field. Furthermore, this research paper presents an approach that is flexible, reliable, and confidential for heartbeat rate monitoring and control system using sensor network and IoT technology which can be deployed to the medical field to assist the medical practitioners in doing their work easily.


2000 ◽  
Vol 12 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Aiguo Ming ◽  
◽  
Makoto Kajitani

We propose a new golf swing robot to simulate dynamic skill of motion control in human golf swing action, that is, multi-step acceleration by dynamic drive. Human swing is simplified as a motion of two-step acceleration, realized by dynamic coupling drive between equivalent shoulder joint and wrist joint. According to the simplified model, a manipulator with one actuated joint and one passive joint equipped with mechanical stopper or brake is proposed as the mechanism of golf swing robot. A small prototype of the golf swing robot to swing a club for junior has been developed, and swing experiments have been done by the robot. The feasibility of the proposed mechanism and control system for golf swing robot is shown by experimental results.


TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.


2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov

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