模糊算法提取人类经验用于LTCC滤波器优化设计

Optimal Design of Microwave LTCC Filter by Extracting Human Experience Using Fuzzy Algorithm

将模糊算法用于LTCC滤波器的优化设计以达到快速设计的能力和设计的自动化。这种方法可以将专家信息和数值信息以if-then规则集的形式表示出来,通过建立模糊推理系统来模拟人的思维设计LTCC滤波器。特别是在设计参量多,各参量对滤波器的影响复杂时,这种方法可以有效设计LTCC滤波器。为了验证所提出方法的正确性,利用这种方法设计了一款LTCC滤波器。将所得的优化结果和测试结果进行了比较,验证了模糊算法用于LTCC滤波器设计的有效性和正确性。

The fuzzy algorithm is described for designing LTCC filter in order to speed up the design process and get the design automation.The approach can use expert information and numerical information that are characterized in terms of ＂if-then＂ rules.According to setting up fuzzy inference system,the fuzzy logic techniques incorporate the rules to duplicate the human way of thinking to design LTCC filter.Especially,when there are many design parameters and the effect of the parameters on the filter is complicated,the approach can also design LTCC filter effectively.The proposed approach is demonstrated accurately by designing a LTCC filter.Optimization results and measured ones are compared to verify the efficiency and accuracy of designing the LTCC filter using fuzzy algorithm.