Research of BP Neural Network Algorithm Testing Platform Based on OPC Communication

Abstract:

Effective control algorithm can be applied to the real-time control system by the data exchange between MCGS and MATLAB with OPC technology, as a result, a testing platform for advanced control algorithms is established. The paper presents a second-order liquid level control system for research example; the BP neural network algorithm is applied to the control system. The communication process verifies that the data exchange is reliable and the simulation results show the control of the BP neural network algorithm for real-time optimized control process is effective.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 575-580
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.575
• Online since: October 2014
• Authors: Bing Wu Chen, Xing Chen*, Hui Peng Shu
• Keywords: BP Neural Network (BPNN), Control, MATLAB, MCGS, OPC

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