Study on High Specification PAC Motion Controller System

Yan Ling Zhao; Ming Qing Wang

doi:10.4028/www.scientific.net/AMR.1078.258

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1078Study on High Specification PAC Motion Controller...

Study on High Specification PAC Motion Controller System

Abstract:

The execution of the PLC application is accomplished through hardware, while the PAC designed a generic form of software execution cores for executing user application execution cores located between the real-time operating systems and applications, the implementation of the kernel and device hardware platform independent, this paper presents under the PLC and PC continuous development and integration of the case, its organizational structure with high computing and large storage space advantages of a PC with high stability.

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Periodical:

Advanced Materials Research (Volume 1078)

Pages:

258-261

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1078.258

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Online since:

December 2014

Authors:

Yan Ling Zhao*, Ming Qing Wang

Keywords:

Controller System, High Specification, PAC Motion

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References

[1] F. Gaxiola, P. Melin: Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction, Information Sciences, Vol. 260 (2014), pp.1-14.

DOI: 10.1016/j.ins.2013.11.006

Google Scholar

[2] R. R. Yager: Implementing fuzzy logic controllers using a neural network framework, Fuzzy Sets and Systems, Vol. 48 (1992), pp.53-64.

DOI: 10.1016/0165-0114(92)90251-x

Google Scholar

[3] W. Pedrycz: Fuzzy neural networks and neurocomputations, Fuzzy Sets and Systems, Vol. 56 (1993), pp.1-28.

DOI: 10.1016/0165-0114(93)90181-g

Google Scholar

[4] W.L. Tung: Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach, Expert Systems with Applications, Vol. 38 (2011), pp.4668-4688.

DOI: 10.1016/j.eswa.2010.07.116

Google Scholar

[5] R. Eslamloueyan: Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee–Eastman process, Applied Soft Computing, Vol. 11 (2011), p.1407.

DOI: 10.1016/j.asoc.2010.04.012

Google Scholar

[6] Y. Chong, C. Quek, P. Loh: A novel neuro-cognitive approach to modeling traffic control and flow based on fuzzy neural techniques, Expert Systems with Applications, Vol. 36 (2009), pp.4788-4803.

DOI: 10.1016/j.eswa.2008.06.043

Google Scholar

[7] N. Kasabov, K. Dhoble: Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition, Neural Networks, Vol. 41 (2013), pp.188-201.

DOI: 10.1016/j.neunet.2012.11.014

Google Scholar

[8] R. A. Aliev, B.G. Guirimov: Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks, Fuzzy Sets and Systems, Vol. 160 (2009), pp.2553-2566.

DOI: 10.1016/j.fss.2008.12.018

Google Scholar