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Volume 11
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10.3390/electronics11213608
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Article

A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications

by
Salah I. Yahya
1,2,
Ban M. Alameri
3,
Mohammad (Behdad) Jamshidi
4,5,
Saeed Roshani
6,
Muhammad Akmal Chaudhary
7,
Gerald K. Ijemaru
8,*,
Yaqeen Sabah Mezaal
9 and
Sobhan Roshani
6,*
1
Department of Communication and Computer Engineering, Cihan University-Erbil, Erbil 44001, Iraq
2
Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Iraq
3
Department of Electrical Engineering, Faculty of Engineering, Mustansiriyah University, Baghdad 10053, Iraq
4
Regional Innovation Centre for Electrical engineering (RICE), University of West Bohemia in Pilsen, 30100 Pilsen, Czech Republic
5
Department of Power Electronics and Machines (KEV) University of West Bohemia Pilsen, 30100 Pilsen, Czech Republic
6
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah 6718997551, Iran
7
College of Engineering and Information Technology, Ajman University, Ajman P.O. Box 346, United Arab Emirates
8
School of Science, Technology and Engineering, Moreton Bay Campus, University of the Sunshine Coast, Moreton Parade, Petrie, QLD 4502, Australia
9
Medical Instrumentation Engineering Department, Al-Esraa University College, Baghdad 10071, Iraq
*
Authors to whom correspondence should be addressed.
Electronics 2022, 11(21), 3608; https://doi.org/10.3390/electronics11213608
Submission received: 7 October 2022 / Revised: 1 November 2022 / Accepted: 2 November 2022 / Published: 4 November 2022
(This article belongs to the Special Issue Application of Artificial Neural Network in Non-destructive Testing)
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Abstract

This paper presents a new approach to simplify the design of class-E power amplifier (PA) using hybrid artificial neural-optimization network modeling. The class-E PA is designed for wireless power transfer (WPT) applications to be used in biomedical or internet of things (IoT) devices. Artificial neural network (ANN) models are combined with optimization algorithms to support the design of the class-E PA. In several amplifier circuits, the closed form equations cannot be extracted. Hence, the complicated numerical calculations are needed to find the circuit elements values and then to design the amplifier. Therefore, for the first time, ANN modeling is proposed in this paper to predict the values of the circuit elements without using the complex equations. In comparison with the other similar models, high accuracy has been obtained for the proposed model with mean absolute errors (MAEs) of 0.0110 and 0.0099, for train and test results. Moreover, root mean square errors (RMSEs) of 0.0163 and 0.0124 have been achieved for train and test results for the proposed model. Moreover, the best and the worst-case related errors of 0.001 and 0.168 have been obtained, respectively, for the both design examples at different frequencies, which shows high accuracy of the proposed ANN design method. Finally, a design of class-E PA is presented using the circuit elements values that, first, extracted by the analyses, and second, predicted by ANN. The calculated drain efficiencies for the designed class-E amplifiers have been obtained equal to 95.5% and 91.2% by using analyses data and predicted data by proposed ANN, respectively. The comparison between the real and predicted values shows a good agreement.
Keywords: artificial neural network; class-E amplifier; genetic algorithm; imperialist competitive; particle swarm optimization artificial neural network; class-E amplifier; genetic algorithm; imperialist competitive; particle swarm optimization

Share and Cite

MDPI and ACS Style

Yahya, S.I.; Alameri, B.M.; Jamshidi, M.; Roshani, S.; Chaudhary, M.A.; Ijemaru, G.K.; Mezaal, Y.S.; Roshani, S. A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications. Electronics 2022, 11, 3608. https://doi.org/10.3390/electronics11213608

AMA Style

Yahya SI, Alameri BM, Jamshidi M, Roshani S, Chaudhary MA, Ijemaru GK, Mezaal YS, Roshani S. A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications. Electronics. 2022; 11(21):3608. https://doi.org/10.3390/electronics11213608

Chicago/Turabian Style

Yahya, Salah I., Ban M. Alameri, Mohammad (Behdad) Jamshidi, Saeed Roshani, Muhammad Akmal Chaudhary, Gerald K. Ijemaru, Yaqeen Sabah Mezaal, and Sobhan Roshani. 2022. "A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications" Electronics 11, no. 21: 3608. https://doi.org/10.3390/electronics11213608

APA Style

Yahya, S. I., Alameri, B. M., Jamshidi, M., Roshani, S., Chaudhary, M. A., Ijemaru, G. K., Mezaal, Y. S., & Roshani, S. (2022). A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications. Electronics, 11(21), 3608. https://doi.org/10.3390/electronics11213608

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