Issue |
E3S Web Conf.
Volume 72, 2018
2018 The International Conference on Electrical Engineering and Green Energy (CEEGE 2018)
|
|
---|---|---|
Article Number | 02001 | |
Number of page(s) | 4 | |
Section | Modern Electronic Technology and Application | |
DOI | https://doi.org/10.1051/e3sconf/20187202001 | |
Published online | 05 December 2018 |
Adaptive Interpolated PI Gain Scheduling for Voltage Regulator in Solar Charge Controller Applications
Universitas Hasanuddin, Department of Electrical Engineering, Kampus Gowa, Fakultas Teknik, Jl. Poros Malino Km. 20, Bontomarannu 92171, Gowa, Sulawesi Selatan, Indonesia
Buck-boost converter is one of the dc-dc convert0.er that can both increase and decrease the value of output voltage. Due to its wide output range, this converter is very appropriate for using in solar-based electric generation systems. To control the stable expected output voltage, this converter is usually integrated with feedback control. One of the old and widely used control techniques is PID control. However, conventional PID controls still have deficiencies, because the parameters of PID parameters are static so that for wide ranges of input or load will provide different transient responses. This paper will present a new PI control with an adaptive interpolated PI gain scheduling technique. The proposed control algorithm has been embedded and implemented in real microcontroller hardware and its performance has been tested under load change conditions, and the input voltage changes within the range of 8-22 V. Testing results show that PI control with gain scheduling technique produces better transient response compared to the traditional fixed PI controller. The time domain transient response measurements, under load changes within the range of 20-1000 Ohm, present that the proposed control algorithm give settling time value below 1.0 second, rise-time below 0.436 second, maximum overshoot below 0.5%, and the steady-state error below 0.3 V.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.