Combining selflearning single neuron model with conventional PID control algorithm

a single neuron PID controller has been designed and used for the superheated steam temperature control system. The simulation results show that the said control system is adaptable for a large range of controlled object variation

having high robustness and adaptability

the control quality of single neuron PID controller being better than that of conventional PID controller. In addition

on the basis of said simulation results

the learning algorithm of single neuron has been further improved

enhancing the better control quality of single neuron PID controller.