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A New Method of Applying Data Engine Technology to Realize Neural Network Control

1,2,*, 3 and 3
1
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
2
Key Laboratory of Industrial Automation Control Technology and Information Processing, Fuzhou University, Fuzhou 350116, China
3
Research Institute of Fujian Histron Group Co., Ltd., Fuzhou 350116, China
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(5), 97; https://doi.org/10.3390/a12050097
Received: 25 March 2019 / Revised: 26 April 2019 / Accepted: 5 May 2019 / Published: 9 May 2019
(This article belongs to the Special Issue High Performance Reconfigurable Computing)
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PDF [7922 KB, uploaded 9 May 2019]
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Abstract

This paper presents a novel diagonal recurrent neural network hybrid controller based on the shared memory of real-time database structure. The controller uses Data Engine (DE) technology, through the establishment of a unified and standardized software architecture and real-time database in different control stations, effectively solves many problems caused by technical standard, communication protocol, and programming language in actual industrial application: the advanced control algorithm and control system co-debugging difficulties, algorithm implementation and update inefficiency, and high development and operation and maintenance costs effectively fill the current technical gap. More importantly, the control algorithm development uses a unified visual graphics configuration programming environment, effectively solving the problem of integrated control of heterogeneous devices; and has the advantages of intuitive configuration and transparent data processing process, reducing the difficulty of the advanced control algorithms debugging in engineering applications. In this paper, the application of a neural network hybrid controller based on DE in motor speed measurement and control system shows that the system has excellent control characteristics and anti-disturbance ability, and provides an integrated method for neural network control algorithm in a practical industrial control system, which is the major contribution of this article. View Full-Text
Keywords: data engine technology; communication middleware; artificial neural network; dynamic reconfiguration; motor control data engine technology; communication middleware; artificial neural network; dynamic reconfiguration; motor control
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Zheng, S.; Bi, C.; Song, Y. A New Method of Applying Data Engine Technology to Realize Neural Network Control. Algorithms 2019, 12, 97.

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