The research of PID self-tuning based on fuzzy genetic algorithm

To solve the problem of the diverse control requirements and turning the control parameters in the modern complex industrial process, a new method of PID self-tuning is proposed based on the genetic algorithm and fuzzy theory. The approach is used to optimize the PID parameters of temperature controller in heating furnace. Experiments indicate that control indices, such as control error, the stableness of temperature change are improved and this approach can successfully optimize the parameters in complex industrial process.