Optimal design of controllers for power network connected SOFC using of multi-objective PSO

Safari, Amin; Shahsavari, Hossein; Babaei, Farshad

doi:10.2298/sjee170822001s

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…In the Caputo definition, which is often referred to in literature as a seamless fractional derivative, this problem does not exist. Eqn (22) defines this definition of derivative.…”

Section: N P N −  mentioning

confidence: 99%

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Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Singh¹,

Tayal²,

Singh³

et al. 2022

AJSE

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Solid Oxide Fuel Cells (SOFCs) are gaining attraction in order to facilitate various applications owing to portability, low pollution and high efficiency. However, due to strong nonlinearity, fast variations in loading conditions and sluggish dynamics, regulation of the output voltage of SOFCs is disturbed. This paper aims to enhance the dynamic performance of SOFC by employing PI, PI Fast, PIDF, 2-DOF PID and PSO optimized FO-PID controllers under uncertain input conditions. The PID tuner is used for tuning the PI, PI fast, PIDF and 2-DOF PID controller parameters. The PSO technique is utilized for optimizing of FO-PID controller. The SOFC output with various controllers is compared in terms of performance specifications such as peak overshoot, settling time, steady state error and rise time. The comparison of computer simulation results manifests that the proposed PSO-FOPID controller scheme yields in far better performance with SOFC subjected to uncertain input.

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“…In the Caputo definition, which is often referred to in literature as a seamless fractional derivative, this problem does not exist. Eqn (22) defines this definition of derivative.…”

Section: N P N −  mentioning

confidence: 99%

“…SOFC control design is proposed to minimize power oscillations in the optimal stabilizer system [22]. The multiobjective PSO methodology is intended to enhance the system efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Singh¹,

Tayal²,

Singh³

et al. 2022

AJSE

View full text Add to dashboard Cite

show abstract

“…Generally speaking, PSO algorithm represents an optimization tool that finds its application in the investigations of solar cells, electrical machines, electronic systems etc. [20][21][22][23]. The PSO algorithm is established on the population (swarm) of candidate solutions.…”

Section: Pso Algorithmmentioning

confidence: 99%

“…Based on the previous analyses, the aim of this paper is to improve the PID controller design from the perspective of better response quality with respect to limitations dictated by the components of the regulation loop (for example, hydraulic pumps, rudder angle etc.). This improvement was achieved by using the optimization technique called Particle Swarm Optimization (PSO), which is a very powerful technique, whose application can be found in a number of areas such as power converters [20], solar cells [21], electrical machines [22], power network [23], etc. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Pso-Based Pid Controller Design for Ship Course-Keeping Autopilot

Dlabač

Ćalasan

Krčum

et al. 2019

brod

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This paper deals with autopilot proportional-integral-derivative (PID) controller design. In the literature, various available methods for PID controller have been presented. Based on the fact that the existing methods do not guarantee the optimal response of the system on the input step change, in this paper we used a valuable technique called Particle Swarm Optimization (PSO) in order to optimally design PID controller taking into account the system limitation such as the value of the rudder angle saturation. Furthermore, we have compared system response on input step and ramp change of input signal for a few PID controller parameters values obtained by using different methods known in literature. It has been proven that by applying the PSO method, it is possible to determine the optimal PID controller parameters which guarantee fast and proper response from the aspect of the minimal overshoot and the minimal settling time. The obtained results confirm the applicability and efficiency of using PSO method for optimal autopilot PID controller design.

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A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates

Ashraf,

Draz

2024

Artif Intell Rev

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Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses, accurate and reliable modeling is heavily demanded to detect any design issue prior to the system establishment. However, such mathematical models comprise certain unknowns that should be properly estimated to effectively describe the actual operation of SOFCs. Accordingly, due to their recent promising achievements, a tremendous number of metaheuristic optimizers (MHOs) have been utilized to handle this task. Hence, this effort targets providing a novel thorough review of the most recent MHOs applied to define the ungiven parameters of SOFCs stacks. Specifically, among over 300 attempts, only 175 articles are reported, where thirty up-to-date MHOs from the last five years are comprehensively illustrated. Particularly, the discussed MHOs are classified according to their behavior into; evolutionary-based, physics-based, swarm-based, and nature-based algorithms. Each is touched with a brief of their inspiration, features, merits, and demerits, along with their results in SOFC parameters determination. Furthermore, an overall platform is constructed where the reader can easily investigate each algorithm individually in terms of its governing factors, besides, the simulation circumstances related to the studied SOFC test cases. Over and above, numerical simulations are also introduced for commercial SOFCs’ stacks to evaluate the proposed MHOs-based methodology. Moreover, the mathematical formulation of various assessment criteria is systematically presented. After all, some perspectives and observations are provided in the conclusion to pave the way for further analyses and innovations.

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Optimal design of controllers for power network connected SOFC using of multi-objective PSO

Cited by 6 publications

References 10 publications

Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Pso-Based Pid Controller Design for Ship Course-Keeping Autopilot

A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates

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