To Develop a Parallel Processing System with the FPGA for Multi-Axis Motion Control Platform

2013 ◽  
Vol 284-287 ◽  
pp. 2396-2401 ◽  
Author(s):  
Chiu Keng Lai ◽  
Kun Lin Ho

It is known that the flexibility and programmable abilities have made the FPGA widely used as controllers to the electrical machines and systems. Above all, the high density of recent developed chip results in many of the CPU cores and complicated hardware can be programmed into the chip to be as controller. Thus, this topic is based on the currently available technologies of FPGA-based system design to the parallel processing. Software and hardware co-design are shown to reach the performance, and the system’s software stream data are processed with the hardware parallel technique. This analysis enables FPGA-based control system on the parallel computing platform to achieve the simultaneous operation for 3-axis motor motion and drive system control. In that way, we chose the high density FPGA, Altera Cyclone II EP2C8Q208C8N, as the chip to develop the hardware of microprocessor, motor drive and motion controller. The developed system was practically applied to a 3-axis motion platform driven by stepping motors to evaluate the system performance.

Author(s):  
Fahmi Yunistyawan ◽  
Yunistyawan J Berchmans ◽  
Gembong Baskoro

This study implements the auto start control system on an electric motor 3 phase C4Feeding pump when the discharge pressure is low-low (4.3 kg /cm²). The C4 feeding pumpmotor was initially manually operated from the local control station, this was very ineffectiveand inefficient because it still relied on the field operator to operate the pump motor and whenthe plant was in normal operating it is very risk if the field operator late to operate motor then itwill impact to quality of the product, and if the delay time to operate motor is too long then planthave to shut down, therefore improvement is needed in the C4 feeding pump motor controlsystem. In this paper, various types of 3-phase motor control are explained which allow it to beapplied to the C4 feeding pump motor that are on-off, inverter, and variable speed drive andefficient selection of the three systems control of the motor. Software and hardware used in thisthesis work are DCS CENTUM VP Yokogawa.


2021 ◽  
Vol 11 (12) ◽  
pp. 5523
Author(s):  
Qian Ye ◽  
Minyan Lu

The main purpose of our provenance research for DSP (distributed stream processing) systems is to analyze abnormal results. Provenance for these systems is not nontrivial because of the ephemerality of stream data and instant data processing mode in modern DSP systems. Challenges include but are not limited to an optimization solution for avoiding excessive runtime overhead, reducing provenance-related data storage, and providing it in an easy-to-use fashion. Without any prior knowledge about which kinds of data may finally lead to the abnormal, we have to track all transformations in detail, which potentially causes hard system burden. This paper proposes s2p (Stream Process Provenance), which mainly consists of online provenance and offline provenance, to provide fine- and coarse-grained provenance in different precision. We base our design of s2p on the fact that, for a mature online DSP system, the abnormal results are rare, and the results that require a detailed analysis are even rarer. We also consider state transition in our provenance explanation. We implement s2p on Apache Flink named as s2p-flink and conduct three experiments to evaluate its scalability, efficiency, and overhead from end-to-end cost, throughput, and space overhead. Our evaluation shows that s2p-flink incurs a 13% to 32% cost overhead, 11% to 24% decline in throughput, and few additional space costs in the online provenance phase. Experiments also demonstrates the s2p-flink can scale well. A case study is presented to demonstrate the feasibility of the whole s2p solution.


1992 ◽  
Author(s):  
Peter E. Undrill ◽  
George G. Cameron ◽  
M. J. Cookson ◽  
Chris Davies ◽  
Neil L. Robinson ◽  
...  

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.


2012 ◽  
Vol 241-244 ◽  
pp. 1482-1486
Author(s):  
Jian Wen Zhao ◽  
Wei Xie

This paper mainly focuses on designing an open CNC system. At first, the advantages and disadvantages of the three popular open numerical control technologies were discussed, and on the basis of demands analysis, this paper chose motion controller plus PC as the whole system model. Then, according to the system model, this article designed the hardware system for the control system, including choosing multi-axis motion control card, servo motors and their drivers. Thirdly, based on the features of this open numerical control system, the paper designed and put the software into three levels, namely low level of control software, mid-level of communication software, and high-level of management software respectively. Finally, in order to test the control performance of this open numerical control system, some experiments were carried out on a two-dimension motion platform, the results are satisfactory and error analysis on these experiments is also given out.


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