Study on Smith-fuzzy Self-tuning PID control algorithm of temperature for Regenerative Magnesium Reduction Furnace

Aimed at large time-delay and time-varying characteristics of regenerative magnesium reduction furnace, Smith-fuzzy self-tuning PID (SF-PID) control algorithm is proposed. The algorithm takes the advantage of Smith predictive control for overcoming a large time-delay and fuzzy self-tuning PID control algorithm for achieving perfect control effect on time-varying, noise disturbance characteristics of the parameters. Simulation result shows that the algorithm has the following advantages: strong robustness, anti-disturbance, inhibits the large time-delay and time-varying effects, strong adaptabilities for various in the parameters. This method obtains good control performance to the temperature, so the algorithm should be widely used in magnesium production process.