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
收藏
页数：14
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