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模糊逻辑控制的应用最后将决定于模糊控制器的设计与实现,包括硬件和软件。模糊控制器的典型结构如图1所示。其中各种传感器置于被控对象的适当部位,以检测相应的过程参数和基本参数;经过变送器形成标准信号,标准信号为4—20mA或0—5V;由多路开关顺序将各个被检测参数送入A/D变换为数字量;再送至相应的模糊化器形成模糊变量(语言的)和对应的从属度;模湖逻辑判断单元根据预先设计好的模糊规则和各个模糊变量判决若干条模糊规则被激活,并计算相应的可信度;最后由解模糊器根据全部被激活的规则及其可信度计算精确的控制输出,作用于被控系统的控制输入端,形成闭环反馈控制。
The application of fuzzy logic control will ultimately depend on the design and implementation of fuzzy controller, including hardware and software. A typical fuzzy controller structure shown in Figure 1. One of the sensors placed in the controlled object of the appropriate parts to detect the corresponding process parameters and basic parameters; the standard signal through the transmitter, the standard signal is 4-20mA or 0-5V; Detection parameters into the A / D converted to digital; then sent to the corresponding fuzzifier fuzzy variables (language) and the corresponding degree of membership; model lake logic to determine the unit according to the pre-designed fuzzy rules and the determination of a number of fuzzy variables The fuzzy rule is activated and the corresponding reliability is calculated. Finally, the exact fuzzy control output is calculated by the defuzzifier according to the all activated rules and their credibility, and acts on the control input of the controlled system to form a closed-loop feedback control .