Controller optimization for a solar tracking system using differential evolution

Cuchungo, Helbert Eduardo Espitia; Vargas, Fabio

doi:10.18180/tecciencia.2015.18.2

Cited by 3 publications

(3 citation statements)

References 7 publications

(9 reference statements)

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“…The counter-electromotive force is proportional to the motor angular velocity, according to equation (2). e(t) = K e ω(t) = K e dθ dt (2) Equation 3represents the electrical component.…”

Section: Motor Modelmentioning

confidence: 99%

“…In general, many applications like robotics, servomechanisms, control, and automation normally use motors with Direct Current (DC). For instance, an application for implementing a solar tracker with a DC motor can be found in [1] and [2]. On the other hand, the dynamic back-propagation (DBP) algorithm is used for training neural networks by incorporating the same characteristics as those of dynamic systems [3,4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of a linear controller using dynamic back-propagation

Espitia¹,

Machón-González²,

Garcı́a³

2019

Vis. Electron.

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“…The counter-electromotive force is proportional to the motor angular velocity, according to equation (2). e(t) = K e ω(t) = K e dθ dt (2) Equation 3represents the electrical component.…”

Section: Motor Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of a linear controller using dynamic back-propagation

Espitia¹,

Machón-González²,

Garcı́a³

2019

Vis. Electron.

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show abstract

“…Este aprovechamiento de la energía solar se conoce como energía solar térmica. Los colectores solares, los tanques de almacenamiento y los fluidos de transferencia de calor son los tres componentes principales del colector solar para el calentamiento de agua o el calentador solar de agua [1,2,3,4].…”

Section: Introductionunclassified

Domestic Hot Water Consumption Profiles Applied to a Flat Tubular Collector for Solar Water Heating in Bogotá

2021

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The use of Flat Solar Collectors for the generation of Domestic Hot Water (DHW), facilitates access to this resource in an efficient, economical and sustainable way. The Sustainable Development Goals proposed by the UN, referring specifically to sustainable water management and access to renewable energy, are the main motivation for this work, since the former is an essential vital resource and its access reduces the inequality index, in developing countries such as Colombia, while the use of solar thermal energy reduces the environmental impact of the water heating process, thus reducing the consumption of electrical energy in the residential sector. Therefore, this work proposes to estimate DHW profiles through a spreadsheet that models the DHW flow thermodynamically for a whole year, making it possible to evaluate the energy performance of a Solar Collector available in the Colombian market and that is used in four types of dwellings located in the city of Bogotá. The simulation results present the DHW consumption profiles in kg/h per year, with DHW temperatures of up to 21°C, for a total transmitted irradiance of the order of 1100 W/m^2, which produces thermal energy close to 1kW. This comparative analysis allows us to review the technical and economic feasibility of solar collectors installed in single-family homes and with a DHW consumption profile close to the Colombian socio-economic reality.

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Design and Optimization of a Neuro-Fuzzy System for the Control of an Electromechanical Plant

2022

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One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary information in their structure as well as being able to establish an initial configuration to carry out the training. In this regard, the strategy to establish the configuration of the fuzzy system is a relevant aspect. This document displays the design and implementation of a neuro-fuzzy controller based on Boolean relations to regulate the angular position in an electromechanical plant, composed by a motor coupled to inertia with friction (a widely studied plant that serves to show the control system design process). The structure of fuzzy systems based on Boolean relations considers the operation of sensors and actuators present in the control system. In this way, the initial configuration of fuzzy controller can be determined. In order to perform the optimization of the neuro-fuzzy controller, the continuous plant model is converted to discrete time to be included in the closed-loop controller training equations. For the design process, first the optimization of a Proportional Integral (PI) linear controller is carried out. Thus, linear controller parameters are employed to establish the structure and initial configuration of the neuro-fuzzy controller. The optimization process also includes weighting factors for error and control action in such a way that allows having different system responses. Considering the structure of the control system, the optimization algorithm (training algorithm) employed is dynamic back propagation. The results via simulations show that optimization is achieved in the linear and neuro-fuzzy controllers using different weighting values for the error signal and control action. It is also observed that the proposed control strategy allows disturbance rejection.

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Controller optimization for a solar tracking system using differential evolution

Cited by 3 publications

References 7 publications

Optimization of a linear controller using dynamic back-propagation

Optimization of a linear controller using dynamic back-propagation

Domestic Hot Water Consumption Profiles Applied to a Flat Tubular Collector for Solar Water Heating in Bogotá

Design and Optimization of a Neuro-Fuzzy System for the Control of an Electromechanical Plant

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