最后，经过对上述仿真结果研究，提出了自调整因子模糊控制器作为控制系统核心。
Finally, according to simulation results to be researched on above-mentioned, self-adjusting factor fuzzy-controller as the centre of the control system is put forward.
本文在应用了基本模糊控制器对结构模型控制之后，对原来的模糊控制器进行了改造，即对关键的三个因子进行自动的调整，构成自调整因子模糊控制器。
After using fuzzy method to control the model, this dissertation tries to improve the fuzzy controller, that to automatically adjust three key factors to consist adjust factor fuzzy controller.
本文提出一种基于PI算法的自调整比例因子模糊控制器。
The paper bring forward a fuzzy controller of self-tuning proportion factor based on PI arithmetic.
自调整比例因子模糊控制器是利用一定的方式自动调整模糊控制器的比例因子，从而达到期望的控制目的。
The fuzzy controller of self-adjusting proportion factor is a fuzzy controller that USES a certain way to adjust its proportion factor automatically, and gets the control aim hoped.
在模糊控制器中又通过自调整修正因子模糊数模型的在线插值方法提高了控制器规则的自调整功能。
And in the fuzzy controller on-line interpolation of the self-tuning gene fuzzy model is employed to improve the self-adjusting abilities of the control rules.
针对热风箱温度滞后的控制和卷绕过程中的非线性控制，本文提出了自调整因子模糊—PID复合控制器和PID参数自调整模糊控制器。
The paper presents Self-regulation factor Fuzzy-PID controller and PID self-regulation fuzzy controller in order to control temperature lagging object and nonlinear object in taking-up device.
针对热风箱温度滞后的控制和卷绕过程中的非线性控制，本文提出了自调整因子模糊—PID复合控制器和PID参数自调整模糊控制器。
The paper presents Self-regulation factor Fuzzy-PID controller and PID self-regulation fuzzy controller in order to control temperature lagging object and nonlinear object in taking-up device.
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