PI-type Fuzzy Controller Tuning by Membership Functions Parameters Determination Using Geometric Series Models for Coordinated Integrated Assessment in Decision-Making Problems

A. Kopoteva
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Abstract

parameters has five terms. By projecting the subsidiary linguistic variables gained earlier on each parameter range we obtain eleven different types of PI-type fuzzy controller tunings. They then were applied for time delay technological object controlling, seven of which proved to be functioning. Results. Comparison of functioning fuzzy controllers’ transient processes with corresponding ordinary PI-controller transient process allowed us to determine that all seven PI-type fuzzy controllers’ quality criteria values are much better that those of ordinary PI-controller. Conclusion. Our research showed that usage of geometric series can be an effective and easy way to obtain fuzzy controllers tunings of satisfactory quality.
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利用几何级数模型确定隶属函数参数的pi型模糊控制器整定用于决策问题的协调综合评价
参数有五个术语。通过在每个参数范围上投影之前获得的辅助语言变量,我们得到了11种不同类型的pi型模糊控制器调谐。然后将它们应用于延时技术对象控制,其中7个被证明是有效的。结果。将功能模糊控制器的暂态过程与相应的普通pi控制器的暂态过程进行比较,可以确定七种pi型模糊控制器的质量标准值都比普通pi控制器的质量标准值好得多。结论。研究表明,几何级数是一种简便有效的模糊控制器整定方法。
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