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Computers 2018, 7(2), 32; https://doi.org/10.3390/computers7020032

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

Department of Computer Engineering, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran
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Received: 9 February 2018 / Revised: 9 May 2018 / Accepted: 11 May 2018 / Published: 21 May 2018
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Abstract

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. View Full-Text
Keywords: genetic algorithms; optimization; artificial neural network genetic algorithms; optimization; artificial neural network
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Malekabadi, M.; Haghparast, M.; Nasiri, F. Air Condition’s PID Controller Fine-Tuning Using Artificial Neural Networks and Genetic Algorithms. Computers 2018, 7, 32.

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