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Application of Neural Network in PLC Temperature Control System

2013-09-19
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This paper analyzes the characteristics of PC and PLC, and proposes that the PC implements complex algorithms, and the obtained control quantity is transmitted to the PLC, and the required control function is completed through the PLC. In this way, advanced control strategies and algorithms can be easily added, and control can be achieved reliably and stably. This paper takes the application of BP neural network PID in temperature control as an example, and realizes the temperature control of neural network PID through a single-chip data acquisition board interfaced with Matlab and combined with AB\'s SLC5. Keywords：BP Neural Network, PID, Matlab, data collect boardAbstract: the paper analyses the characteristic of PC and PLC, puts forward an idea that PCworks out the complex operation, and the result transfers to PLC.PLC completes the control function.It is easy to add the advanced control strategy, also achieve the good result reliablysteadily.For example the BP NN PID in the temperature control system, through the data collect board which can access to Matlab,with AB company SLC5 achieve NN PID control in temperature control system.keyword：BP Neural Network, PID, Matlab, data collect board

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