An optimal system solution deteriorates over time as the system's environment changes. A process of ongoing improvement is required to update and maintain the effectiveness of a solution.

To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.

In this paper, the project of the Optimal Reclosing Time suitable for application is presented according to the transient analysis of circuit breakers' making process.