Abstract
A single neuron PID control method based on Smith predictor is presented in this paper to overcome the short-comings that the control effect of conventional Smith predictor will be worse while the parameters of time delay systems change. This method combines the single neuron PID with Smith predictor. By the self adapting and self organizing of single neuron, it can be adapted to the parameters changing of the controlled plant. And the simulation study had been done for a first order time delay system. The results show that this method offer good static and dynamic characteristics as well as its disturbance-rejection and robustness are better.