【摘要】 工业对象大多是具有非线性、大时滞、高阶次的复杂对象 ,常规的控制方法往往难以适应这些对象的变化。文中提出了一种自适应模糊控制器 ,它能在控制过程中不断调整和修改控制规则 ,以适应对象和环境的变化。对控制方法与常规PID控制、Smith预估控制、基本模糊控制进行了仿真比较。仿真曲线表明 ,自适应模糊控制器的控制性能明显好于其它 3种控制方法更多还原

【Abstract】 Almost all the industrial objects are non liner, long time delayed, high ordered and complicated. But traditional control methods often can′t adapt to the changes of the objects. In order to adapt to the changes of the objects and the environment, an adaptive fuzzy control which can continuously adjust the control rules in control process was introduced. Simulation tests of the adaptive fuzzy controller were carried out. Furthermore, by comparison to the PID control, Smith predictive control and basic fuzzy control, the curves of simulation suggest that the control performance of the adaptive fuzzy controller is much better than the other three control methods.更多还原