Browsing by Author "Chen, Pin-Jyun"

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A CONTROL SYSTEM DESIGN FOR EFFICIENTLY OPERATING FREE-MOTION OF SERVO MECHANICAL PRESS
(2014-01-01)
Chen, Pin-Jyun
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Cheng, Pi-Ying
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Lin, Yu-Ting
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Cheng, Tseng-Jen
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機械工程學系
Servo press has the ability to improve the formability, quality, and productivity of metal products by working with various forming curves of slide. However, the operations of free-motion function are not very intuitional and efficient for most of servo presses so that it is difficult for operator to construct self-design forming curves. This article proposed a control system design of servo mechanical press which consists of an open-system controller and a real-time operating system to provide a convenient and efficient approach for operating free-motion function. In the proposed control system, operators determine the motion of slide by adjusting several control points of forming curve in a friendly and graphical interface. Then a calculating process based on the B-spline and curve fitting theories is applied in the controller to transform settings of operator into speed commands of servo motor automatically. Through this process, the controller is capable of driving servo motor smoothly and generating an expectant forming curve. In the latter section, some compare and analyses of setting of operator and actual results are demonstrated to verify the performance of proposed control system. By applying the proposed control system design to servo mechanical press, operators are able to create practical and satisfying forming curves more easily.
Navigation of mobile robot by using D plus plus algorithm
(2012-10-01)
Cheng, Pi-Ying
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Chen, Pin-Jyun
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機械工程學系
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Department of Mechanical Engineering
The navigation of mobile robots is a vital aspect of technology in robotics. We applied the D++ algorithm, which is a novel and improved path-planning algorithm, to the navigation of mobile robots. The D++ algorithm combines Dijkstra\'s algorithm with the idea of a sensor-based method, such that Dijkstra\'s algorithm is adapted to local search, and the robot can determine its next move in real-time. Although the D++ algorithm frequently runs local search with limited ranges, it can compute optimum paths by expanding the size of the searching range to avoid local minima. In addition, we verified the performance of the D++ algorithm by applying it to a real robot in a number of environments. The use of the D++ algorithm enables robots to navigate efficiently in unknown, large, complex and dynamic environments.
Small mechanical press with double-axis servo system for forming of small metal products
(2013-10-01)
Cheng, Pi-Ying
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Chen, Pin-Jyun
;
Lin, Yu-Ting
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機械工程學系
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Department of Mechanical Engineering
Multi-axis servo systems have been applied to many machine tools in recent decades, but they are not commonly used for press machines. They are particularly uncommon for small presses because it is still believed that the precision of a small press is dependent on the precision of its components and parts. However, high-precision components and parts are difficult to manufacture and assemble, so the costs of small precision presses are roughly equal to or higher than those of large press machines. Moreover, the accuracy of conventional small presses worsens over long operation times, particularly when dealing with off-center loading frequency. Therefore, we propose a small mechanical press with an adjustable driving system, using a slide and double-axis servo system, for manufacturing small products. Through this proposed design, we expect higher-quality products to be produced for lesser cost than conventional small presses.
The D plus plus Algorithm: Real-Time and Collision-Free Path-Planning for Mobile Robot
(2010)
Cheng, Pi-Ying
;
Chen, Pin-Jyun
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機械工程學系
;
Department of Mechanical Engineering
This paper proposed an improved algorithm that we call "D++" which can be applied to real-time and collision-free path -planning to solve some problems of common methods at present. D++ algorithm combines the Dijkstra's algorithm with sensor-based method so that D++ algorithm can deal with problems of unknown, large, complex, or dynamic environment, and need only local environmental information initially to find a shortest path. In the later of this article, we demonstrated some examples to show that D++ algorithm is very efficient for path-planning and also very practicable on real mobile robot system.