基于Sugeno推理自调整模糊Smith-PID控制器仿真研究

针对工业控制中大惯性、纯滞后、参数时变非线性受控对象难于控制问题,提出一种新型控制器,利用Smith预估器补偿受控过程纯滞后作用,基于Sugeno推理模糊控制器自调整PID参数.给出控制器结构及其控制策略,并将其应用于加热炉温度控制系统中,与常规PID控制器和Smith预估补偿PID控制器比较.仿真结果表明,该控制器各项性能均好于其它两种控制器,具有动态调节性能好、稳态精度高、抗干扰性强和鲁棒巨好的特点.

Simulation Study on Adaptive Fuzzy Smith-PID Controller Based on Sugeno Inference

Owing to the problem of control difficulty for the nonlinear controlled object, which has the characteristics of the big inertia, the pure time delay and the time-varying parameter in the industry control, a new controller was proposed. The pure time delay effects of the controlled object was made up by Smith estimating controller, and the PID controller parameters were adjusted by the fuzzy controller based on Sugeno inference. The structure and control tactics of the controller were presented, and the controller was applied on the system of heating furnace temperature control and compared with the traditional PID controller and the Smith estimating PID controller. The simulation result shows that the qualities of the controller are obviously better than the other two controllers, and the controller has the characteristics of good dynamic adjustment, high steady-state accuracy, strong resistant ability to interference and good robustness.