Modelling and Simulation of Interval Type-2 Fuzzy PID Controllers using Mamdani Minimum Inference

被引：0
|
作者：
Kumari, Khushboo [1 ]
Mohan, B. M. [1 ]
机构：
[1] Indian Inst Technol Kharagpur, Dept Elect Engn, Kharagpur 721302, W Bengal, India
来源：
IFAC PAPERSONLINE | 2024年 / 57卷
关键词：
IT2 fuzzy control; Mathematical modelling; Mamdani minimum inference; Average defuzzification; Nie-Tan defuzzification; DERIVATION;
D O I：
10.1016/j.ifacol.2024.05.049
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents two different mathematical models (also called analytical structures) of the simplest Mamdani type Interval Type-2 (IT2) Fuzzy Proportional Integral Derivative (FPID) controller by considering Average and Nie-Tan (NT) defuzzification methods. IT2 Fuzzy Sets (FSs) with triangular Membership Functions (MFs) on both input and output variables, Mamdani Minimum (MM) inference, and One-Dimensional (1D) input space are used to obtain the analytical structures of the controller. The models of the proposed controller are thoroughly analysed for their properties. Validity and applicability of the proposed controller models are demonstrated through simulation study.
引用
收藏
页码：286 / 291
页数：6
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