基于模糊Smith方法的温控系统仿真研究  

Simulation of Temperature Control System Based on Fuzzy Smith Control

作　　者：刘亭莉[1] 黄廷磊[1] 

机构地区：[1]桂林电子科技大学,广西桂林541004

出　　处：《计算机仿真》2010年第2期170-174,共5页Computer Simulation

基　　金：广西自然科学基金(0640169)

摘　　要：在过程控制中,经常会碰到纯滞后、时变、非线性的复杂系统,传统的模糊控制和PID控制方法解决上述问题效果不佳。为了解决控制系统中超调量大和调节时间长等问题,针对热疗温度控制对象的纯滞后特性,在Smith预估器和传统PID控制的基础上,结合模糊PID控制与模糊自适应Smith预估控制,提出模糊Smith智能控制方法。方法通过对模型的纯滞后进行补偿,来减小纯滞后系统的超调和增强系统的稳定性。通过建立热疗数学模型并进行仿真研究,结果表明无论在参数不变还是参数改变的情况下,方法在超调量和调节时间等方面都有很大提高,极大地改善了控制性能,提高了温度控制系统的鲁棒性和抗干扰性。During the course of industry control, pure hysteresis and non - linear characteristic often occur. Based on the one - order inertia tache Smith predictor, this dissertation presents the fuzzy control method, which is applied to adjust the parameter of the improved Smith predictor by considering the hyperthermia temperature and makes the adjusted parameter with the change of the object. This paper proposes the fuzzy Smith intelligent control method which combines the fuzzy PID control with the fuzzy adaptive Smith predictor. According to the maths model, either the parameter changed or invariable, simulation results have shown that the method can improve the qualities of control and enhance the robustness and stability of the temperature control system.

关 键 词：温控系统 模糊控制 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]