Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

Aziri, Hasif; Patakor, Fizatul Aini; Sulaiman, Marizan; Salleh, Zulhisyam

doi:10.11591/ijpeds.v8.i4.pp1682-1692

Cited by 11 publications

(12 citation statements)

References 12 publications

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“…In previous research, the motor speed regulation was carried out using IFOC with a comparison of P and PI control with static conditions and no load. From this research, it was found that in static conditions no-load speed response using P and PI control at low-speed chattering and oscillation occurred [13]. Besides, other research related to the transient response characteristics of a 3-phase induction motor with a control vector using a PI controller, carried out in high-speed static conditions obtained good transient response characteristics when tested for changes in speed with a steady-state error ranging from 1-1.9% [14].…”

Section: Introductionmentioning

confidence: 85%

Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW

Muntashir

Purwanto

Sumantri

et al. 2021

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A three-phase induction motor is often used in everyday life because of its high reliability. However, it is associated with some disadvantages, including difficulties in maintaining constant speed during load changes and speed regulation due to the decoupled system. Therefore, this study aims to adjust the three-phase induction motor control to become a separate amplifier DC motor by setting the vector control using the IFOC method, which changes the coupled to the decoupled system. The speed settings are equipped with a PID controller where its parameters, which are obtained using Ziegler Nichols, produce speed output with fast research time and small steady-state errors. This research was conducted to observe and analyze the performance of a controller based on the IFOC approach with a PID controller at speed differences, with static and dynamic conditions in the entire speed working area. In the first stage of the research, simulation is carried out with static conditions, namely changes in speed variations throughout the work area (low speed to high speed), the next stage is a simulation with dynamic conditions, which is to provide changes in the value of the load torque when the system is operating. The simulation result carried out with LabVIEW shows a response time of 1.13 ms, a settling time of 9.9 ms, and a steady error of 0.4% at the 500 Rpm set point. It also indicated dynamic characteristics with a recovery time of 4.9 ms at the 300 Rpm set point. When operated at low speed, IFOC with PID controller has a stable response. But In dynamic conditions, the use of a PID controller is considered unsuitable. This is because the PID controller is less fast and less robust in responding to the system when conditions change in the value of the load torque.

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Section: Introductionmentioning

confidence: 85%

Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW

Muntashir

Purwanto

Sumantri

et al. 2021

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“…Salahsatu cara untuk meningkatkan performa dari motor induksi adalah dengan mengendalikan kecepatan motor induksi. Banyak teknik kontrol yang digunakan untuk mengatur kecepatan motor induksi berdasarkan metode IFOC termasuk kontrol konvensional seperi kontrol proportional integral (PI) dan teknik kontrol proportional integral derivative (PID) [5]. Teknik kontrol konvensional dianggap sebagai teknik yang baik karena desainnya mudah digunakan, biaya rendah dengan struktur sederhana.…”

Section: Pendahuluanunclassified

Desain Kontrol Kecepatan Motor Induksi Tiga Fasa Menggunakan Fuzzy Pid Berbasis Idirect Field Oriented Control

Ridwan¹,

Purwanto²,

Oktavianto³

et al. 2019

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Motor induksi tiga fasa (MITF) umumnya digunakan di berbagai aplikasi di industri karena keandalannya, biaya rendah, kontruksi kokoh, perawatan rendah, dan effisiensi yang tinggi. Namun untuk mengontrol MITF tidak semudah seperti mengontrol motor DC, karena MITF merupakan motor yang tidak linear. Penggunaan metode indirect field oriented control (IFOC) dengan kontroler fuzzy proportional integrator and derivative (FPID) dipilih untuk dapat mengatur kecepatan MITF. Metode IFOC akan membuat MITF dapat dikontrol seperti motor DC penguat terpisah. Kontroler FPID yang di desain dengan mengganti kontroler PID konvensional. Performa kontroler FPID yang di desain dibandingkan dengan kontroler PID konvensional. Performa respon yang dibandingkan seperti rise time, settling time, overshoot, steady state error, dan undershoot. Hasil simulasi yang dibuat menunjukkan bahwa dengan menggunakan kontroler FPID lebih baik dibandingkan dengan kontroler PID. Dimana respon overshoot untuk kontroler FPID 0% sedangkan kontroler PID adalah 0.23%. Begitu pula dengan respon undershoot untuk kontrol FPID adalah 2.88% sedangkan kontroler PID adalah 6.78%. Untuk respon rise time, settling time, dan steady state error tidak jauh berbeda dari kedua kontroler. Sistem yang sudah di buat disimulasikan di platform LabView

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“…The artificial neural network is shown in figure 3. Table 1 shows the classification results for each of the sensor locations using the first 9 input features (1)(2)(3)(4)(5)(6)(7)(8)(9). The test achievement was higher with SVMs in all cases aside from flag 3 where both were at  ISSN:2502-4752 Indonesian J Elec Eng & Comp Sci, Vol.…”

Section: Proposed Artificial Neural Networkmentioning

confidence: 99%

“…Proportional Integral Estimator of the Stator Resistance for Direct Torque Control Induction Motor Drive is discussed in [8]. Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives is presented in [9]. Sensor less Control of BLDC Motor using Fuzzy logic controller for Solar power Generation is discussed in [10].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network in Electrical Power System

Palanichamy¹

2018

IJEECS

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The artificial neural network used to detect the fault in electrical machines and can increase the function of new entry detection when compared to the conventional method. In proposed artificial neural network has increased the precision and stability of system performance.<strong> </strong>The time-area vibration signs of a pivoting machine with ordinary and flawed apparatuses are handled for highlight extraction. The separated elements from unique and preprocessed signs are utilized as contributions to both classifiers in view of ANNs and SVMs for two-class (typical or blame) acknowledgment. The quantity of hubs in the concealed layer, if there should be an occurrence of ANNs, and the extend basis work section parameter, in the event of SVMs, alongside the choice of information components are enhanced utilizing genetic algorithm (GAs).

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Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

Cited by 11 publications

References 12 publications

Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW

Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW

Desain Kontrol Kecepatan Motor Induksi Tiga Fasa Menggunakan Fuzzy Pid Berbasis Idirect Field Oriented Control

Application of Artificial Neural Network in Electrical Power System

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