The Characteristic of Control Algorithms for an Induction Electromotor by the Parameters Change in Stator Winding Voltage

Motto, Fréderic Biya; Tchuidjan, Roger; Benoît, Ndzana; Tchinda, Colince Tatsa

doi:10.24018/ejers.2019.4.4.1226

Cited by 3 publications

(2 citation statements)

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“…The transformation matrix for transforming (a, b, c) into (α, β) is given in (2). The transformation matrix for (α, β) into (d, q) can be found in (3). Figure 1 shows the relation between the two domains: (3) where, θ is the position of the rotor flux.…”

Section: Methods 21 Field Oriented Controlmentioning

confidence: 99%

“…The field-oriented control was initially done for high-performance motor applications that are needed to work easily over the maximum speed, create full torque at zero speed, and have a high dynamic response including very rapid deceleration and acceleration. However, because of the field oriented control (FOC's) smaller motor, lower cost, and reduced power consumption, it also becomes more and more appealing for lesser performance applications [3]. In field orientation, the motor input currents are specified to make a specific angle between fluxes produced in the rotor and stator windings in a way that follows the direct current (DC) motor operation.…”

Section: Introductionmentioning

confidence: 99%

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African vulture optimizer algorithm based vector control induction motor drive system

Mohammed

Ismaiel

Elnaghi

et al. 2023

IJECE

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<span lang="EN-US">This study describes a new optimization approach for three-phase induction motor speed drive to minimize the integral square error for speed controller and improve the dynamic speed performance. The new proposed algorithm, African vulture optimizer algorithm (AVOA) optimizes internal controller parameters of a fuzzy like proportional differential (PD) speed controller. The AVOA is notable for its ease of implementation, minimal number of design parameters, high convergence speed, and low computing burden. This study compares fuzzy-like PD speed controllers optimized with AVOA to adaptive fuzzy logic speed regulators, fuzzy-like PD optimized with genetic algorithm (GA), and proportional integral (PI) speed regulators optimized with AVOA to provide speed control for an induction motor drive system. The drive system is simulated using MATLAB/Simulink and laboratory prototype is implemented using DSP-DS1104 board. The results demonstrate that the suggested fuzzy-like PD speed controller optimized with AVOA, with a speed steady state error performance of 0.5% compared to the adaptive fuzzy logic speed regulator’s 0.7%, is the optimum alternative for speed controller. The results clarify the effectiveness of the controllers based on fuzzy like PD speed controller optimized with AVOA for each performance index as it provides lower overshoot, lowers rising time, and high dynamic response.</span>

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Section: Methods 21 Field Oriented Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

African vulture optimizer algorithm based vector control induction motor drive system

Mohammed

Ismaiel

Elnaghi

et al. 2023

IJECE

View full text Add to dashboard Cite

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Simulation and experimental validation of chaotic-billiards optimization algorithm for advanced variable speed drive

Elnaghi,

Ismaiel,

Mohammed

2023

Electr Eng

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To appropriately construct the proportional–integral control strategy for stability enhancement of the speed performance of induction motors and current waveform, this study describes a novel optimization approach for three-phase induction motor pumps speed drive. This work provides a novel chaotic-billiards optimizer (C-BO) method. These strategies were implemented in the same hardware with modifications in the control algorithm. Both simulation and experimental investigation are carried out, and a comparative analysis of the optimized parameters is presented. The system setup is prepared and simulated in the environment of MATLAB/Simulink. The same system has been presented experimentally. The laboratory experiment is carried out in the Smart Systems Co laboratory using simulators of induction motors designed and manufactured by the Lucas-Nuelle company. The asynchronous motor is controlled by 3 phase variable speed drive A1000 of Yaskawa Co. The "ActiveServo" software included ensures user-friendly operation and visualization of the measurement values. Experiment has validated the speed the effectiveness of C-BO. The speed control and flux control using C-BO have a fast response even under pump load and improvement in rising time by 41.65% as compared to GA. The novel optimization model C-BO has improvement in integral square error (ISE) of the three controllers by 38.91% as compared to genetic algorithm systems. Furthermore, the difficulty of developing both systems is the same. The C-BO algorithm stands out for its uncomplicated design, low requirement for design specifications, high rate of convergence, and minimal computational strain.

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Experimental Validation of Neural Network speed controller of induction motor

Elnaghi

2023

2023 24th International Middle East Power System Conference (MEPCON)

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The Characteristic of Control Algorithms for an Induction Electromotor by the Parameters Change in Stator Winding Voltage

Abstract: In this paper we study various control algorithms of electromagnetic torque and rotor rotation speed by parameters change in stator voltage for an induction electromotor.

Cited by 3 publications

References 0 publications

African vulture optimizer algorithm based vector control induction motor drive system

African vulture optimizer algorithm based vector control induction motor drive system

Simulation and experimental validation of chaotic-billiards optimization algorithm for advanced variable speed drive

Experimental Validation of Neural Network speed controller of induction motor

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