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Mathematical models of the simplest fuzzy PI/PD controllers with skewed input and output fuzzy sets

机译:输入和输出模糊集偏斜的最简单的模糊PI / PD控制器的数学模型

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This paper unveils mathematical models for fuzzy PI/PD controllers which employ two skewed fuzzy sets for each of the two-input variables and three skewed fuzzy sets for the output variable. The basic constituents of these models are GAMMA-type and L-type membership functions for each input, trapezoidal/triangular membership functions for output, intersection/algebraic product triangular norm, maximum/drastic sum triangular conorm, Mamdani minimum/Larsen product/drastic product inference method, and center of sums defuzzification method. The existing simplest fuzzy PI/PD controller structures derived via symmetrical fuzzy sets become special cases of the mathematical models revealed in this paper. Finally, a numerical example along with its simulation results are included to demonstrate the effectiveness of the simplest fuzzy PI controllers.
机译:本文揭示了模糊PI / PD控制器的数学模型,该模型为两个输入变量中的每个变量使用两个倾斜的模糊集,为输出变量使用三个倾斜的模糊集。这些模型的基本组成部分是每个输入的GAMMA型和L型隶属函数,输出的梯形/三角形隶属函数,交集/代数乘积三角范数,最大/奇和和三角定理,Mamdani最小/拉森乘积/大乘积推理方法和总和反模糊化方法。通过对称模糊集导出的现有最简单的模糊PI / PD控制器结构成为本文揭示的数学模型的特例。最后,包括一个数值示例及其仿真结果,以证明最简单的模糊PI控制器的有效性。

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