Next Article in Journal
Wearable Biofeedback Improves Human-Robot Compliance during Ankle-Foot Exoskeleton-Assisted Gait Training: A Pre-Post Controlled Study in Healthy Participants
Previous Article in Journal
Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks
Previous Article in Special Issue
A New Approach for Impedance Tracking of Piezoelectric Vibration Energy Harvesters Based on a Zeta Converter
Open AccessLetter

Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform

Renewable and Alternatives Energies Center (CEAR)/Electrical Engineering Department (DEE)/Campus I, Federal University of Paraiba (UFPB), Joao Pessoa 5045, Brazil
Author to whom correspondence should be addressed.
Sensors 2020, 20(20), 5874;
Received: 8 August 2020 / Revised: 25 August 2020 / Accepted: 27 August 2020 / Published: 17 October 2020
(This article belongs to the Collection Energy Harvesting Sensors)
In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID. View Full-Text
Keywords: fuzzy controller; energy harvesting; thermal emulation fuzzy controller; energy harvesting; thermal emulation
Show Figures

Figure 1

MDPI and ACS Style

Camboim, M.M.; Villanueva, J.M.M.; de Souza, C.P. Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform. Sensors 2020, 20, 5874.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop