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.
Regenerative Magnesium Reduction Furnace Temperature Fuzzy Smith PID
Hui Wu Jun-Qi Yu
The School of Information and Control Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2395-2398
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）