Air Condition's PID Controller Fine-Tuning Using Artificial Neural Networks and Genetic Algorithms

被引：13

作者：

Malekabadi, Maryam ^{[1
]}

Haghparast, Majid ^{[1
]}

Nasiri, Fatemeh ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Comp Engn, Yadegar E Imam Khomeini RAH Shahre Rey Branch, Tehran, Iran

来源：

COMPUTERS | 2018年 / 7卷 / 02期

关键词：

genetic algorithms; optimization; artificial neural network;

D O I：

10.3390/computers7020032

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a Proportional-Integral-Derivative (PID) controller is fine-tuned through the use of artificial neural networks and evolutionary algorithms. In particular, PID's coefficients are adjusted on line using a multi-layer. In this paper, we used a feed forward multi-layer perceptron. There was one hidden layer, activation functions were sigmoid functions and weights of network were optimized using a genetic algorithm. The data for validation was derived from a desired results of system. In this paper, we used genetic algorithm, which is one type of evolutionary algorithm. The proposed methodology was evaluated against other well-known techniques of PID parameter tuning.

引用

页数：14

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