Speed Control of a DC Motor for the Orientation of a Heliostat in a Solar Tower Power Plant using Artificial Intelligence Systems (FLC and NC)

Zeghoudi, Abdelfettah; Chermitti, Ali

doi:10.19026/rjaset.10.2465

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…In [80], a bidirectional DC/DC converter, Class-E DC chopper shown in Figure 13, is used to supply the armature winding of a separately excited DC motor. This converter topology is preferred in DC drive applications to fulfill the four-quadrant operation, including motoring and reverse motoring.…”

Section: A DC Drivesmentioning

confidence: 99%

“…Regarding the control techniques, neural networks, PI, and PID controllers are commonly used to control heliostat drive systems' movement. The PI and PID gains are tuned using two different fuzzy logic (FL) techniques in [80]- [82]. The two methods are based on considering the error signal and/or derivative of the error signal.…”

Section: A DC Drivesmentioning

confidence: 99%

“…Separately excited [80] • the stable condition with any field excitation and gives a wide range of output speed, • the field can be connected to a constant voltage source to ensure full torque is available at all speeds…”

Section: Motormentioning

confidence: 99%

See 2 more Smart Citations

Solar Power Tower Drives: A Comprehensive Survey

Hamanah¹,

Salem

Abido

et al. 2023

IEEE Access

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Recently, renewable energy is considered a vital source for electricity generation that aims to reduce the carbon dioxide emissions acquired from fossil fuels. Concentrated solar power (CSP) is a growing technology that collects solar energy from the sunbeams. One of the efficient CSP topologies is the solar power tower (SPT), which aims to collect the direct sunbeams on a central collector using thousands of reflecting mirrors, called heliostats. Many literature reviews have presented the development of control techniques to improve tracking accuracy and SPT performance. However, on the component level, little work has been issued. This article introduces a comprehensive review of the different SPT drives. More than 100 papers have been classified and discussed to allocate the development and the research-gaps in SPT drives. The drive mechanisms, considering both the power source and mechanical transmission systems, have been classified and discussed. Additionally, a comprehensive review of the different electrical motors, along with their power electronic converters, used for heliostat units are presented, discussed, and compared. The advantages and the drawbacks of the different electrical drive systems are presented and discussed. Besides, the azimuth-elevation tracking technique is selected, discussed, and investigated with a dual-axis two linear actuators mechanism. Additionally, a case study for a small-sized heliostat prototype is presented, discussed, and analyzed using the azimuth-elevation dual-axis tracking to investigate the SPT's performance in Dhahran, KSA, as a promising location in the Gulf region. According to this review, the research gaps and future work have been highlighted to help interested researchers in this area finding potential challenges.

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Section: A DC Drivesmentioning

confidence: 99%

Section: A DC Drivesmentioning

confidence: 99%

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Solar Power Tower Drives: A Comprehensive Survey

Hamanah¹,

Salem

Abido

et al. 2023

IEEE Access

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“…The results showed that PI-FLC presented reductions in the overshoot and better performance than the other controllers. Zeghoudi and Chermitti [28] and Zeghoudi et al [29] used the Matlab environment in order to simulate the orientation of a heliostat by using an FLC with two different rule bases, comparing the output response with a PI, a PID, a PI-FLC and a neural controller. The results showed a better output response for the FLC compared with the other controllers.…”

Section: Introductionmentioning

confidence: 99%

Development of a DSP Microcontroller-Based Fuzzy Logic Controller for Heliostat Orientation Control

2020

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This paper describes the design and implementation of a heliostat orientation control system based on a low-cost microcontroller. The proposed system uses a fuzzy logic controller (FLC) with the Center of Sums defuzzification method embedded on a dsPIC33EP256MU806 Digital Signal Processor (DSP), in order to modify the orientation of a heliostat by controlling the angular position of two DC motors connected to the axes of the heliostat. The FLC is compared to a traditional Proportional-Integral-Derivative (PID) controller to evaluate the performance of the system. Both the FLC and PID controller were designed for the position control of the heliostat DC motors at no load, and then they were implemented in the orientation control of the heliostat using the same controller parameters. The experimental results show that the FLC has a better performance and flexibility than a traditional PID controller in the orientation control of a heliostat.

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“…Fuzzy logic controllers have been applied in order to control the orientation of a heliostat. Zeghoudi and Chermitti [18] applied a speed control of a DC motor with an FLC for the orientation of a heliostat. Two FLC configurations were compared with a neural controller in Matlab software.…”

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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Speed Control of a DC Motor for the Orientation of a Heliostat in a Solar Tower Power Plant using Artificial Intelligence Systems (FLC and NC)

Cited by 11 publications

References 11 publications

Solar Power Tower Drives: A Comprehensive Survey

Solar Power Tower Drives: A Comprehensive Survey

Development of a DSP Microcontroller-Based Fuzzy Logic Controller for Heliostat Orientation Control

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

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