Asenkron Motorun Karma Kesti̇ri̇ci̇ Tabanli Hiz-Algilayicili Doğrudan Vektör Kontrolü

İnan, Remzi; Demir, Rıdvan; Barut, Murat

doi:10.28948/ngumuh.443233

Cited by 7 publications

(5 citation statements)

References 24 publications

(30 reference statements)

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“…2. Motor speed is changed every 10 seconds with PID speed controller [16,17]. Actual speed (Act) and FO speed estimation outputs are compared.…”

Section: Resultsmentioning

confidence: 99%

Permanent Magnet Synchronous Motor Flux Observer Implementation with TI F28335 DSP for Electric Vehicle System

2023

1st International Conference on Modern and Advanced Research Icmar 2023

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This study represents a flux observer application for permanent magnet synchronous motor (PMSM) based electric vehicle (EV) system. Getting rid of speed sensors is very important for reducing EV cost. Firstly, motor control algorithm and observer algorithm are written on Simulink environment and download to TI F28335 DSP over USB by using Simulink Embedded Coder. Then the system is tested at variable speed which is changes every 10 seconds. The results show the performance of the flux observer estimation. It is seen that the flux observer successfully estimates the actual speed in most areas only expect for transients. The effectiveness of flux observer is proven via experimental results.

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“…2. Motor speed is changed every 10 seconds with PID speed controller [16,17]. Actual speed (Act) and FO speed estimation outputs are compared.…”

Section: Resultsmentioning

confidence: 99%

Permanent Magnet Synchronous Motor Flux Observer Implementation with TI F28335 DSP for Electric Vehicle System

2023

1st International Conference on Modern and Advanced Research Icmar 2023

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“…But it is expensive for simple and small systems. In contrary to this, microcontrollerbased systems [8][9][10][11][12] are cheap and sufficient for small systems. Therefore, Raspberry Pi is used for controlling the system [13].…”

Section: Arivalahan Et Al Presented a Level Control Studymentioning

confidence: 99%

Liquid Level Control Interface Design on Simulink External Mode with Raspberry Pi

2023

1st International Conference on Modern and Advanced Research Icmar 2023

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Liquid level control in industrial applications is one of the classical control problems. The dynamic structure of two couple tank systems resembles many real systems such as boilers and oil refineries. It is the most controlled problem due to its non-linear structure and continuously changing phase properties. The liquid level of the tank is controlled by using a PI controller. The desired level is adjusted by using an ultrasonic sensor on the tank. The closed-loop system is operated by using a control interface designed by the Simulink program. The program prepared by Simulink is downloaded to Raspberry Pi over the Wi-Fi. The experimental input-output data of the system is provided by the external mode of Simulink. The user can adjust the speed of the fluid using the designed interface without a controller or control the liquid level by activating the controller on the same interface. This study provides great convenience to users to control and monitor the liquid level remotely.

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“…Vector control technique is based on the simulation of the torque and flux control components of the motor by simulating the DC motor model of AC motor. In this way, the torque and speed of the AC motor will be directly related to the electromagnetic state of the motor and can be easily controlled as a DC motor [15].…”

Section: Control Structuresmentioning

confidence: 99%

Asenkron motorlarda yapay nöral ağlar ile/olmadan dolaylı alan yönlendirmeli kontrol ve doğrudan tork kontrolünün karşılaştırması

User¹,

Acar²

2021

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖzetThe flux, speed, and torque control performance of asynchronous motors are affected by parameter deviations and nonlinear variations of the asynchronous motor. In this study, Direct Torque Control (DTC) and Indirect Field Oriented Control (IFOC) structures are examined and asynchronous motor parameter deviations in both control structures are varied to desensitize with Artificial Neural Networks (ANN). In the literature, PI controllers are used in the IFOC structure. ANN is proposed for parameter desensitization, to the best of our knowledge no comparison and assessment has been made in the literature for these two methods. Comparisons are usually on the Direct Field Oriented Control (DFOC). This study proposes the parameter desensitization of IFOC and DTC with / without artificial neural networks and examines the effect on output performance. With the proposed control structure, it has been observed that the values of flux, torque and speed of asynchronous motor outputs capture the reference value at the desired performance and decrease the error values. With the proposed desensitization with ANN, IFOC performed over 50% better particularly in the time of overshoot and sitting than DTC. The proposed algorithms are implemented with Matlab / Simulink and the same reference values are used for each method.

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Asenkron Motorun Karma Kesti̇ri̇ci̇ Tabanli Hiz-Algilayicili Doğrudan Vektör Kontrolü

Cited by 7 publications

References 24 publications

Permanent Magnet Synchronous Motor Flux Observer Implementation with TI F28335 DSP for Electric Vehicle System

Permanent Magnet Synchronous Motor Flux Observer Implementation with TI F28335 DSP for Electric Vehicle System

Liquid Level Control Interface Design on Simulink External Mode with Raspberry Pi

Asenkron motorlarda yapay nöral ağlar ile/olmadan dolaylı alan yönlendirmeli kontrol ve doğrudan tork kontrolünün karşılaştırması

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