Mechatronic design and implementation of a two axes sun tracking photovoltaic system driven by a robotic sensor

Flores-Hernández, Diego A.; Palomino-Resendiz, Sergio Isai; Lozada‐Castillo, Norma; Luviano‐Juárez, Alberto; Chairez, Isaac

doi:10.1016/j.mechatronics.2017.09.014

Cited by 49 publications

(27 citation statements)

References 39 publications

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“…Tracking Error Minimization Strategies (TEMS): three strategies were developed for the minimization of the tracking error, the TEMS 1 strategy based on a Proportional Integral controller with an average establishment time (te 1 ) of 4.8 seconds for each step of the trajectory and an absolute tracking error (ε 1 ) of 0.134° [9], the TEMS 2 strategy based on Generalized Proportional Integral (GPI) controller with an average establishment time (te 2 ) of 0.9 seconds and an absolute tracking error (ε 2 ) of 0.08° [4], and a TEMS 3 strategy based on a cascade control with an average establishment time (te 3 ) of 1.2 seconds and an absolute tracking error (ε 3 ) of 0.014° [9].…”

Section: Tracker Behavior Designmentioning

confidence: 99%

“…The high concentration photovoltaic systems (HCPV) require almost 0.1° of tracking accuracy, incrementing the tracking costs, and requiring a two axes tracker configuration [3]. To solve this challenge, the integration and validation during the design process with a concurrent approach reduces significantly the tracking errors and the tracking power consumption [4]. The key commitment in the design of solar trackers is the balance between the energy consumption to generate the motion and the power production by the photovoltaic system [5].…”

Section: Introductionmentioning

confidence: 99%

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Design strategy for low-power consumption in solar trackers

Flores-Hernández¹,

Palomino-Resendiz²,

Luviano‐Juárez³

et al. 2018

AIP Conference Proceedings

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The new energy generation technologies that transform the solar energy, require a high accuracy for the tracking of the solar vector path, which increases the system energy consumption and reduces the entire system performance. From an optimization approach, a novel design strategy for low-power trackers is proposed, which consists of two main stages, a first for the physical tracker design optimization, and a second for the design of the tracker behavior. For the validation of the proposed design strategy, the implementation is presented through the development of a solar tracker prototype. For the implementation of the second stage, three Tracking Error Minimization Strategies (TEMS) are proposed (PI, GPI, and cascade control), and four Energy Saving Strategies (ESS) are proposed. The presented experimental results show that the saving energy strategy can reduce the energy consumption in up to 27.2771% in tracking tasks with an absolute maximum tracking error of 0.08°, and obtaining a low-power prototype tracker with 5.4749 Wh energy consumption. The proposed design strategy allows the design of solar trackers with a balance between the energy consumption and the tracking error.

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Section: Tracker Behavior Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design strategy for low-power consumption in solar trackers

Flores-Hernández¹,

Palomino-Resendiz²,

Luviano‐Juárez³

et al. 2018

AIP Conference Proceedings

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“…Makhija et al [8] used an ATMega328 microcontroller, four LDRs, and two servo motors to build a sun tracker on a PV, increasing the output voltage 37% against a fixed PV. Flores-Hernández et al [9] developed a dual-axis solar tracker using a robotic sensor, allowing to reduce the energy consumption of the tracking system as well as adding multiple tracking systems using the same sensor.…”

Section: Introductionmentioning

confidence: 99%

SCADA-Based Heliostat Control System with a Fuzzy Logic Controller for the Heliostat Orientation

et al. 2019

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In central receiver systems, there are local controls that modify the position of the heliostats, where the trend is to increase the intelligence of the local controls in order to give them greater autonomy from the central control. This document describes the design and construction of a SCADA (Supervisory Control and Data Acquisition)-based heliostat control system (HCS) with a fuzzy logic controller (FLC) for the orientation control. The HCS includes a supervisory unit with a graphical user interface, a wireless communication network, and a stand-alone remote terminal unit (RTU) implemented on a low-cost microcontroller (MCU). The MCU uses a solar position algorithm with a maximal error of 0.0027 • in order to compute the position of the sun and the desired angles of the heliostat, according to a control command sent by the supervisory unit. Afterwards, the FLC orients the heliostat to the desired position. The results show that the RTU can perform all the tasks and calculations for the orientation control by using only one low-cost microcontroller with a mean squared error less than 0.1 • . Besides, the FLC orients the heliostat by using the same controller parameters in both axes. Therefore, it is not necessary to tune the controller parameters, as in the traditional PID (Proportional-Integral-Derivative) controllers. The system can be adapted in order to control other two-axis solar-tracking systems.

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“…automotive, aerospace, railways), but also in new interdisciplinary areas, such as the renewable energy systems (RES). Among the RES applications, the design and testing of the mechatronic tracking systems used for the solar panels/collectors is appropriate to be addressed through the use of specific virtual prototyping tools [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the control system of a single-axis sun tracking mechanism

Alexandru

2018

MATEC Web Conf.

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The work shows the optimization of the control system for the single-axis solar tracker that equips a solar panel, with the aim to increase the energetic efficiency of the system by maximizing the quantity of incident solar radiation that is captured - absorbed by the panel. The single-axis solar tracker is driven by a linear actuator, the optimization study intending to determine the optimal configuration (in terms of tuning factors) of the controller, which is a PID (Proportional-Integral-Derivative) device, in order to accurately achieve the motion (tracking) law imposed on the solar panel. The solar tracker was approached as a mechatronic system, the mechanical device (developed in ADAMS - Automatic Dynamic Analysis of Mechanical Systems) and the control system (developed in EASY5 - Engineering Analysis System) being integrated at the level of virtual prototype, in the concurrent engineering concept.

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Mechatronic design and implementation of a two axes sun tracking photovoltaic system driven by a robotic sensor

Cited by 49 publications

References 39 publications

Design strategy for low-power consumption in solar trackers

Design strategy for low-power consumption in solar trackers

SCADA-Based Heliostat Control System with a Fuzzy Logic Controller for the Heliostat Orientation

Optimizing the control system of a single-axis sun tracking mechanism

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