Electrical, Micro-Power Generation Using a Fluidic Oscillator

Macia, Narciso F.; Nguyen, Ha Van

doi:10.1115/imece2005-82791

Cited by 3 publications

(3 citation statements)

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“…To control the converters in use, we adopted fundamental, simple, and widely applied techniques such as PID [15], 2DOFPID [16], and FOPID [17]. Furthermore, more advanced techniques, including fuzzy logic controllers [18], artificial neural networks [19], and genetic algorithms [20], have also been employed.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers

Güven

2024

IET Control Theory & Appl

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This study elucidates the use of optimization algorithms to identify the controller parameters employed in adjusting the current and voltage values of loads powered by solar energy systems and battery groups. Parameters for these controllers were independently derived using a combination of ant colony optimization with Levy flight, hybrid firefly‐particle swarm optimization, hybrid gravitation search algorithm‐particle swarm optimization, alongside the implementation of Jaya and whale optimization algorithms. The results from each method were juxtaposed for thorough analysis. In addition, three distinct Maximum Power Point Tracker (MPPT) algorithms were employed in the system: perturbation and observation, open circuit voltage, and incremental conductance (IC). To assess the system’s adaptability to real‐world conditions, it was tested against varying temperatures and sunlight levels. Moreover, potential changes in the loads were considered by varying the load. The efficacy of the controllers was examined by altering both the environment and load. The effectiveness of the controllers was examined by referring to the integral of time‐weighted absolute error value. The system was simulated using MATLAB/Simulink software. This study demonstrates that the fractional‐order PID controller achieves the most effective results, the Jaya algorithm provides the best controller parameters, and the IC technique exhibits the highest performance in MPPT.

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Section: Literature Reviewmentioning

confidence: 99%

Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers

Güven

2024

IET Control Theory & Appl

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“…An artificial bee colony algorithm used to controlling a non-linear boost converter [18] is a simple example of such a controller. Fractional-order PID controllers are used to improve the startup response, with fewer actions compared to PID controllers, which helps to improve fractional-order PID controllers [19].…”

Section: A Developing Trend Of Fractional-order Pid Controllersmentioning

confidence: 99%

Fractional-Order PID Controllers for Temperature Control: A Review

Jamil

Ali

et al. 2022

Energies

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Fractional-order proportional integral derivative (FOPID) controllers are becoming increasingly popular for various industrial applications due to the advantages they can offer. Among these applications, heating and temperature control systems are receiving significant attention, applying FOPID controllers to achieve better performance and robustness, more stability and flexibility, and faster response. Moreover, with several advantages of using FOPID controllers, the improvement in heating systems and temperature control systems is exceptional. Heating systems are characterized by external disturbance, model uncertainty, non-linearity, and control inaccuracy, which directly affect performance. Temperature control systems are used in industry, households, and many types of equipment. In this paper, fractional-order proportional integral derivative controllers are discussed in the context of controlling the temperature in ambulances, induction heating systems, control of bioreactors, and the improvement achieved by temperature control systems. Moreover, a comparison of conventional and FOPID controllers is also highlighted to show the improvement in production, quality, and accuracy that can be achieved by using such controllers. A composite analysis of the use of such controllers, especially for temperature control systems, is presented. In addition, some hidden and unhighlighted points concerning FOPID controllers are investigated thoroughly, including the most relevant publications.

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“…The main pipe pressure is saturated at 5 bar. The suspension pressure is stored in a 20 L tank modeled by a C element, and the conductance is given by equation 2 31 :…”

Section: Industrial Applicationmentioning

confidence: 99%

Model builder for diagnosis and simulation of hybrid dynamic systems: Application to railway rolling stock

Six¹,

Ould-Bouamama

Gehin

2020

SIMULATION

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This paper deals with a model builder for Hybrid Dynamic Systems (HDS), where technological components including sensors in an iconic format can be automatically dragged from a database and interconnected to produce the overall HDS, following industrial technological schemes. Once the model has been created, its consistency can be checked, and a block diagram simulation can be performed. The theory behind the software is based on Hybrid Bond Graphs (HBG), whose structural and causal properties will be exploited for the automatic generation of the diagnosis algorithms, which will be implemented online. Compared with developed programs for automated modeling of HDS, the presented methodology is valid for continuous and hybrid systems, and the HBG is used not only for block diagram simulation builders but also for the generation of Fault Detection and Isolation algorithms. The theory is illustrated by an industrial application that consists of the pneumo-electrical control of metro rolling stock.

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Electrical, Micro-Power Generation Using a Fluidic Oscillator

Cited by 3 publications

References 1 publication

Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers

Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers

Fractional-Order PID Controllers for Temperature Control: A Review

Model builder for diagnosis and simulation of hybrid dynamic systems: Application to railway rolling stock

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