Abstract：When controlled object is nonlinear or operating environment changes, the fixed parameters of PID will cause performance degradation. To solve this problem, a single neural PID based on Hebb learning rule is designed and implemented on S7-300 PLC in this paper. Firstly, a single neural PID based on Hebb learning rule according to the adaptive feature and learning ability of neuron. The simulation shows that, with respect to PID, single neural PID based on Hebb learning rule can adaptively adjust, thereby the system is of faster response, small overshoot. Then, single neural PID is implemented on S7-300 PLC to control the temperature of heater. The experiment show that single neural PID based on Hebb learning rule is simple and practical on PLC and can significantly improve system performance.
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2017, Vol. 18 
