I. J. of Electrical & Electronics Research
Research Article | 
Performance Analysis of Heat Exchanger System Using Deep Learning Controller
Author(s) : Bhawesh Prasad1, Raj Kumar2 and Manmohan Singh3
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 2, Special Issue on IEEE-SD
Publisher : FOREX Publication
Published : 30 June 2022
e-ISSN : 2347-470X
Page(s) : 327-334
Abstract
Conventional PID controllers have utilised in most of the process industries. Despite being the most used controller, the traditional PID controller suffers from several disadvantages. Due to rapid development in the field of the process control system, various controllers have been developed that try to overcome the limitations of the PID controller. In this paper, a heat exchanger system has been simulated, and the generated data has been used to train a deep learning-based controller using Backpropagation. The obtained results are compared with the conventional controller on several metrics, including time response, performance indices, frequency response etc. The proposed model outperforms the conventional controller on all the evaluation metrics.
Keywords: Artificial Neural Network, Deep Learning controller, PID controller, Heat Exchanger
Bhawesh Prasad, Research Scholar, Department of EIE, Sant Longowal Institute of Engineering and Technology, Longowal-148106, India; Email: bpsliet2010@gmail.com
Raj Kumar, Associate Prof., Department of EIE, Sant Longowal Institute of Engineering and Technology, Longowal-148106, India
Manmohan Singh, Associate Prof., Department of EIE, Sant Longowal Institute of Engineering and Technology, Longowal-148106, India
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Bhawesh Prasad, Raj Kumar and Manmohan Singh (2022), Performance Analysis of Heat Exchanger System Using Deep Learning Controller. IJEER 10(2), 327-334. DOI: 10.37391/IJEER.100244.