Electromechanical guidance system based on a fuzzy proportional-plus-differential position controller

Paranchuk, Yaroslav; Shabatura, Y. V.; Kuznyetsov, Oleksiy

doi:10.20998/2074-272x.2021.3.04

Electrical Engineering & Electromechanics

2021

DOI: 10.20998/2074-272x.2021.3.04

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Electromechanical guidance system based on a fuzzy proportional-plus-differential position controller

Yaroslav Paranchuk¹,

Y. V. Shabatura²,

Oleksiy Kuznyetsov³

Abstract: Purpose. The purpose is to develop solutions for the implementation of optimal laws of arms positioning, overshoot-free and requiring no post-adjustments. Method. The control model is based on the fuzzy set theory; and the structural modeling methodology is used to study the dynamics indices. Results. The structural scheme of the positional electromechanical system with a fuzzy proportional-plus-differential position controller and the method of control adaptation to the position reference signal change are ob… Show more

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Cited by 2 publications

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“…By utilizing linguistic variable knowledge, an intelligent fuzzy controller can be developed without the need for a complex mathematical model of the system. This not only reduces computation time but also improves the transient response characteristics of the system [18,19]. However, designing an effective fuzzy controller in order to enhance the performance of a plant remains a challenging task, often requiring multiple trial-and-error procedures based on computer simulations.…”

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confidence: 99%

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Aissaoui,

Bouzeria,

Benidir

et al. 2024

Electrical Engineering & Electromechanics

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Introduction. The railway Traction Power Supply System (TPSS) encounters a common challenge related to high-frequency harmonic resonance, especially when employing AC-DC-AC traction drive systems in high-speed trains. This resonance issue arises when the harmonic elements introduced by the traction AC-DC converter on the grid side of trains align with the innate resonance frequency of the TPSS. The novelty the proposed work focuses on the challenges associated with resonance elevation and high-frequency harmonics in high-speed trains, while simultaneously enhancing energy quality. This is achieved by integrating a pulse-width-modulated converter on the grid side with a single-phase configuration and incorporating an LCL filter. Methodology. In order to optimize the system’s efficiency, a robust control system is employed, taking advantage of the capabilities of a fuzzy logic controller (FLC). The choice of the FLC is justified by its straightforward design and reliability, emphasizing the dedication to precise control, as fuzzy logic excels in handling complex, nonlinear systems. Through the use of linguistic variables and heuristic reasoning, the FLC adjusts to dynamic changes in the system, demonstrating its efficacy in enhancing both transient and steady-state responses. Practical value. A grid-side LCL filter-based converter was meticulously designed and rigorously simulated using the MATLAB/Simulink platform. The inclusion of an advanced FLC in the system introduced a novel approach to control strategies, surpassing the traditional PI controller. Through a comprehensive comparative analysis, the simulation results showcased the remarkable efficacy of the proposed solution in an effectively mitigating high-frequency resonance within the TPSS. This outcome underscores the potential of FLC as a sophisticated control mechanism for enhancing the performance systems in railway applications, showcasing its superiority over conventional control methods. The study contributes in shedding light on innovative approaches for optimizing the control and efficiency of grid-side LCL filter-based converters in high-speed train systems.

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mentioning

confidence: 99%

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Aissaoui,

Bouzeria,

Benidir

et al. 2024

Electrical Engineering & Electromechanics

View full text Add to dashboard Cite

show abstract

“…Several methods have been developed in literature. These methods are based on NNs [7][8][9], shape recognition [1,10], fuzzy logic [11], genetic algorithms [12], timefrequency representations. All these methods are used to automate the diagnosis process basing on data acquisition from the machine for without intervention of an expert.…”

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confidence: 99%

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines

Sakhara¹,

Brahimi²,

Nacib³

et al. 2023

Electrical Engineering & Electromechanics

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Introduction. Nowadays, fault diagnosis of induction machines plays an important role in industrial fields. In this paper, Artificial Neural Network (ANN) model has been proposed for automatic fault diagnosis of an induction machine. The aim of this research study is to design a neural network model that allows generating a large database. This database can cover maximum possible of the stator faults. The fault considered in this study take into account a short circuit with large variations in the machine load. Moreover, the objective is to automate the diagnosis algorithm by using ANN classifier. Method. The database used for the ANN is based on indicators which are obtained from wavelet analysis of the machine stator current of one phase. The developed neural model allows to taking in consideration imbalances which are generated by short circuits in the machine stator. The implemented mathematical model in the expert system is based on a three-phase model. The mathematical parameters considered in this model are calculated online. The characteristic vector of the ANN model is formed by decomposition of stator current signal using wavelet discrete technique. Obtained results show that this technique allows to ensure more detection with clear evaluation of turn number in short circuit. Also, the developed expert system for the taken configurations is characterized by high precision.

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Electromechanical guidance system based on a fuzzy proportional-plus-differential position controller

Cited by 2 publications

References 10 publications

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines

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