A nonlinear fuzzy PID controller via algebraic product AND-maximum OR-Height defuzzification

N. Arun, B. Mohan, R. Raj
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引用次数: 1

Abstract

This paper reveals a new mathematical model of the simplest fuzzy PID controller which employs two fuzzy sets (negative and positive) on each of the three input variables (error, change in error and double change in error) and four fuzzy sets (−2, −1, +1, +2) on the output variable (incremental control). L — type, Γ — type and Π — type membership functions are considered in fuzzification process of input and output variables. Controller modeling is done via algebraic product AND operator-maximum OR operator-Height (Ht) defuzzification process combination. The new model obtained in this manner turns out to be nonlinear, and its properties are studied.
基于代数积和最大或高度解模糊的非线性模糊PID控制器
本文提出了一种新的最简单模糊PID控制器的数学模型,该控制器对三个输入变量(误差、误差变化和双误差变化)分别采用两个模糊集(负和正),对输出变量(增量控制)采用四个模糊集(- 2、- 1、+1、+2)。在输入输出变量的模糊化过程中,考虑了L型、Γ型和Π型隶属函数。通过代数积和算子-最大值或算子-高度(Ht)解模糊化过程组合来完成控制器建模。用这种方法得到的新模型是非线性的,并对其性质进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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