Discrete-Time Adaptive PID Current Controller for Wind Boost Converter

Authors

Keywords:

Discrete-time, adaptive control, DC-DC boost converter, wind energy conversion system, processor-in-the-loop simulation

Abstract

This paper proposes an adaptive controller for a dc-dc boost converter to regulate the output current levels of a 400 W small wind turbine based on a permanent magnet synchronous generator with a three-phase diode rectifier. Despite the stochastic nature of wind, this discrete-time adaptive PID controller regulates the current levels without large overshoots and oscillations to attain the maximum power point of the wind system. The adaptive mechanism algorithm operating with two electrical measurements adjusts the controller parameters, and is designed with an approach consisting of the integration of the variable operation point of the small wind turbine into the discrete-time model of the dc-dc boost converter and the Bode stability criteria. The mechanism algorithm features a low computational complexity for controller parameters estimation and therefor a practical implementation in a low-end microcontroller (small size, low cost, and low energy consumption) is possible. Furthermore, the results based on the processor-in-the-loop simulation approach show that controlling the current levels and the maximum power point of the wind system via the proposed adaptive controller is more effective than a controller tuned around a particular fixed operating point.

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Author Biographies

David R. Lopez-Flores, Tecnológico Nacional de México / Instituto Tecnológico de Chihuahua

David R. Lopez-Flores obtained the degree of Electronic Engineering, 2002 from the Instituto Tecnológico de Los Mochis, Sin., México, and the degree of Master of Science in Electronic Engineering, 2005, from the Instituto Tecnológico de Chihuahua Chih., México. Currently, he is a doctoral student at the Tecnológico Nacional de México / IT de Chihuahua. He is interested in power electronic systems for the conditioning of renewable energies.

Jose L. Duran-Gomez, Tecnológico Nacional de México / Instituto Tecnológico de Chihuahua

Jose L. Duran-Gomez (M’96–SM’06) received the B.E. degree in industrial engineering in electronics and the M.Sc. degree in electronic engineering from Chihuahua Institute of Technology, Chihuahua, México, in 1988 and 1990, respectively, and the Ph.D. degree in electrical engineering from Texas A\&M University, College Station, TX, USA, in 2000. From February 2001 to July 2002, he was with the Micropower Group, Tyco Electronics Power Systems, Mesquite, TX, USA, as a Member of Technical Staff. His research interests are primarily in power electronic converters and their control, power conditioning of renewable resources and power quality issues.
He is the Lead Developer of the Power Electronics and Power Quality Laboratory at Chihuahua Institute of Technology, and is actively involved in academic projects while engaged in teaching and research activities.

Javier Vega-Pineda, Tecnológico Nacional de México / Instituto Tecnológico de Chihuahua

Javier Vega-Pineda received the B.S. degree in Industrial Electronics Engineering from Instituto Tecnológico de Chihuahua (ITCH), México, the M.Sc. degree in Electronics from Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Tonantzintla, Puebla, México, and the Ph.D. in Computer Engineering from The University of Texas at El Paso (UTEP), Texas, USA, in 1977, 1980 and 1997, respectively.
He was software engineer at National Cash Register (NCR) Industrial de México in 1980, and since 1981, he has been with the ITCH as Professor in the Electrical Engineering Department. From March 2004 to May 2006, he was Chairman of the ITCH Graduate School. His interest has been in the area of digital signal processing (DSP).

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Published

2022-08-27

How to Cite

Lopez-Flores, D. R., Duran-Gomez, J. L., & Vega-Pineda, J. (2022). Discrete-Time Adaptive PID Current Controller for Wind Boost Converter. IEEE Latin America Transactions, 21(1), 98–107. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6805

Issue

Vol. 21 No. 1 (2023): Ordinary Issue

Section

Electric Energy