Vector control of induction machine using PI controller optimized by genetic algorithms

Yousfi, Laatra; Bouchemha, Amel; Bechouat, Mohcene; Boukrouche, Abdelhani

doi:10.1109/epepemc.2014.6980687

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…The following equations [4][5][6], [19] (1) Where: The stator and rotor resistances are denoted by 𝑅 𝑠 and 𝑅 𝑟 , respectively. Similarly, the stator and rotor inductances are represented by 𝐿 𝑠 and 𝐿 𝑟 .…”

Section: Induction Motor Modelingmentioning

confidence: 99%

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Robust fuzzy – backstepping mode control of an induction motor

Herizi,

Benyounes,

Rouabhi

et al. 2024

SEES

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This paper presents a novel control for induction motors using backstepping control and fuzzy logic. The Backstepping control is suggested as a substitute for the conventional PI controller to attain high-performance motion control systems for the speed, flux, and current control loops. Stability analysis, based on Lyapunov theory, is also conducted to guarantee the convergence of the speed tracking error from all possible initial conditions. The speed regulator was changed to a fuzzy logic regulator. The simulation results confirm that the proposed hybrid control fuzzy-backstepping scheme offers improved performance in terms of trajectory tracking ability and robustness against variation when subjected to time-varying reference input.

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Section: Induction Motor Modelingmentioning

confidence: 99%

“…The equations mentioned above have been adapted to the simplifying hypotheses, as shown in [4][5][6], [19]:…”

Section: Induction Motor Modelingmentioning

confidence: 99%

Robust fuzzy – backstepping mode control of an induction motor

Herizi,

Benyounes,

Rouabhi

et al. 2024

SEES

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“…However, despite the improvement offered by this command, some drawbacks have limited its use in high power applications. In fact, it can only achieve asymptotic decoupling around a constant flux [16]. Furthermore, the control implementation utilises PI controllers, which necessitate a precise understanding of the system model to be controlled and are highly sensitive to parametric variations, particularly the rotor resistance variation, which is directly linked to the flow orientation angle.…”

Section: Introductionmentioning

confidence: 99%

A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor

Herizi,

Rouabhi,

Ouagueni

et al. 2024

SEES

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The novelty of the work proposed a new controller based on type 1 fuzzy logic and IP regulator, the new controller applies to the asynchronous machine driven by a PWM inverter. Flux-directed vector control is considered one of the most effective control methods due to its ease of design and implementation. Proportional integral (PI) controllers are used to implement this method. The controllers parameters are calculated using traditional analytical methods directly from the machine parameters. This requires rigorous calculation and a thorough understanding of all machine parameters. Improve the performance of flow-oriented vector control (reduction of oscillations, driving of loads at variable speeds, etc.). The performance improvement was achieved firstly by changing the location of the proportional and integral regulators. Then, by a regulator that combines the integral proportional (IP) regulator and type 1 fuzzy logic in the MATLAB environment. A new architecture of the flow-oriented vector control controller, based on the combination between the IP regulator and type 1 fuzzy logic. The control makes it possible to improve the dynamic performance of the induction motor. The main possibility of creating an efficient controller based on the fuzzy logic of type 1 of the induction motor.

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“…Affected by nonlinear loads, unbalanced loads, semiconductor devices, line impedance and other factors, the voltage at the common connection point (PCC) on the output side of the cascaded power quality improvement device will be distorted [ 10 ]. Therefore, the cascaded power quality improvement device needs to have an excellent voltage harmonic improvement function, especially to ensure power quality under a nonlinear load [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of an Output Voltage Harmonic Suppression Strategy of a Power Quality Control Device for the High-End Manufacturing Industry

Wan

et al. 2022

Micromachines

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Due to the influence of nonlinear loads, power quality control devices under the traditional double closed-loop control strategy suffer from a large output voltage harmonic distortion rate and a slow harmonic suppression response and cannot meet the high-quality power supply requirements of high-end manufacturing. A compound control strategy based on voltage feedback and current feed-forward is proposed to solve the voltage quality problem under a nonlinear load. Firstly, based on the mathematical model of power quality control device, the working principle and voltage current coupling relationship are analyzed. Then, an output voltage compound control strategy based on feed-forward and feedback is proposed, and the harmonic suppression mechanisms are deduced and analyzed. Finally, simulation and experimental results are presented to show that, compared with the traditional double closed-loop control strategy, the harmonic suppression effect of the composite control strategy proposed in this paper can be increased by 2.2%, and the response time is decreased to 100 ms.

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Vector control of induction machine using PI controller optimized by genetic algorithms

Cited by 9 publications

References 4 publications

Robust fuzzy – backstepping mode control of an induction motor

Robust fuzzy – backstepping mode control of an induction motor

A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor

Investigation of an Output Voltage Harmonic Suppression Strategy of a Power Quality Control Device for the High-End Manufacturing Industry

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