Firstly, the function of fuzzy language and grade value of input output variable were determined. Then the software and hardware of the fuzzy controlling algorithm.
首先确定输入输出变量的模糊语言值及隶属度值，然后给出了实现该模拟算法的硬件和软件设计。
Experiment results show that the algorithm can obtain the advantages of the fuzzy system and the neural network can have better performance in controlling the nonlinear and complex system.
仿真实验表明，该算法可实现模糊控制和神经网络的优势互补，对非线性复杂系统具有良好的控制性能。
The driving chip DRV592 drove the semiconductor cooler linearly, and the algorithm of fuzzy self-tuning PID was adopted to improve the precision of controlling temperature.
利用DRV592驱动芯片对半导体制冷器进行线性驱动，采用模糊自整定PID控制算法来提高控温精度。
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