Evaluation of the High Performance Indirect Field Oriented Controlled Dual Induction Motor Drive Fed by a Single Inverter using Type-2 Fuzzy Logic Control

Bounab, A.; Chaiba, Azeddine; Belkacem, Sebti

doi:10.48084/etasr.3799

Cited by 3 publications

(1 citation statement)

References 32 publications

(47 reference statements)

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“…Converter and inverter circuits are very required circuits for converting electric energy in power electronics applications (Liu, Huang, and Qiu,2020;Szymanski,et al, 2020;Kan, Ruan, 2020). For the applications, closed-loop control systems such as PID and Fuzzy Logic are applied in order to reach the most suitable operating point on the system ( Srinivas, Themozhi, and Nagarajan, 2020;Rijanto, Nugroho, and Ghani, 2020;Reddy, Sharma, 2021, Bounab et al,2020. So, the output current or output voltage values generated on the load are compared with the reference values and the system is controlled according to the rule tables previously determined.…”

Section: Introductionmentioning

confidence: 99%

Variable Determined for Optimization of Alternating Energy on the Load by the Adaptive Taguchi Method

Can¹

2021

JER is an international, peer-reviewed journal that publishes f

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It is important to find the optimum point in terms of energy quality in the studies for electrical energy conversions with the converter and inverter circuits. In such studies, it has been tried to find the optimum operating point by using control systems such as PID and Fuzzy Logic in closed-loop controls. When a large number of variables are involved in finding the optimum point, closed-loop control methods such as these may be insufficient to find the optimum point. Therefore, in this study, the Adaptive Taguchi Method (ATM) with the maximum-minimum value is used for the estimation of variables providing the optimum point for energy quality by using it in a multilevel inverter with a double dc-dc converter. While in traditional Taguchi Methods, dependent variables predict the results by revealing their effects on independent variables, in ATM, besides the effects of the independent variables, the effects of different dependent variables on each other are also estimated. First, the system to which the ATM will be applied is introduced. Then, the principles of applying the ATM are explained. In the known Taguchi method, variable values to be found with 34 = 81 trials, variables are estimated with 27 trials, while the values of two different dependent variables in the system can be found with 54 trials instead of 2x34 = 2x81 trials. The resulting values to be estimated with the proposed ATM method are estimated with 27 trials instead of 2x81 or 54 trials. Finally, the observation results to be used for estimation are analyzed and evaluated. By trying the prediction results, it is seen that the proposed system is quite effective because the estimated result value that is %3.71 in the experiments gives a lesser distortion value than the values used for prediction.

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Section: Introductionmentioning

confidence: 99%

Variable Determined for Optimization of Alternating Energy on the Load by the Adaptive Taguchi Method

Can¹

2021

JER is an international, peer-reviewed journal that publishes f

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An Overview of Advancements in Multimotor Drives: Structural Diversity, Advanced Control, Specific Technical Challenges, and Solutions

Gong,

Li,

Zargari

2024

Proc. IEEE

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Robust Speed Control of a Three Phase Induction Motor Using Support Vector Regression

Mugheri

Keerio

Chandio

et al. 2021

Eng. Technol. Appl. Sci. Res.

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The Three Phase Induction Motor (TIM) is one of the most widely used motors due to its low price, robustness, low maintenance cost, and high efficiency. In this paper, a Support Vector Regression (SVR) based controller for TIM speed control using Indirect Vector Control (IVC) is presented. The IVC method is more frequently used because it enables better speed control of the TIM with higher dynamic performance. Artificial Neural Network (ANN) controllers have been widely used for TIM speed control for several reasons such as their ability to successfully train without prior knowledge of the mathematical model, their learning ability, and their fast implementation speed. The SVR-based controller overcomes the drawbacks of the ANN-based controller, i.e. its low accuracy, overfitting, and poor generalization ability. The speed response under the proposed controller is faster in terms of rising and settling time. The dynamic speed response of the proposed controller is also superior to that of the ANN-PI controller. The performance of the proposed controller was compared for TIM speed control with an ANN-PI controller via simulations in SIMULINK.

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Evaluation of the High Performance Indirect Field Oriented Controlled Dual Induction Motor Drive Fed by a Single Inverter using Type-2 Fuzzy Logic Control

Cited by 3 publications

References 32 publications

Variable Determined for Optimization of Alternating Energy on the Load by the Adaptive Taguchi Method

Variable Determined for Optimization of Alternating Energy on the Load by the Adaptive Taguchi Method

An Overview of Advancements in Multimotor Drives: Structural Diversity, Advanced Control, Specific Technical Challenges, and Solutions

Robust Speed Control of a Three Phase Induction Motor Using Support Vector Regression

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