Simulation of speed sensor less control of PMSM based on DTC method with MRAS

Shahgholian, Ghazanfar; Rezaei, Mohammad Hosain; Etesami, Afshin; Yousefi, Mohammad Reza

doi:10.1109/ipecon.2010.5697127

Cited by 13 publications

(3 citation statements)

References 8 publications

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“…Then the response of the error can be represented by [65,67] dc sd dt ¼ ÀR [37][38][39][40][41][42][43][44][45][46][47][48][49]. The model reference approach makes use of two independent machine models of different structures to estimate the same state variable (back emf, rotor flux, reactive power, etc.)…”

Section: Adaptive Backstepping Observermentioning

confidence: 99%

Sensorless Speed Control of AC Machines

Abu‐Rub

Iqbal

Guziński

2012

High Performance Control of AC Drives With MATLAB/Simulink Models

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Sensorless speed control of induction machine (IM) drives has, in the past decade, become a mature technology for a wide speed range [1][2][3].The elimination of the rotor speed sensor, without affecting performance, is a major trend in advanced drives control systems [1]. The advantages of speed sensorless AC drives are reduced hardware complexity, lower costs, elimination of the sensor cable, better noise immunity, increased reliability, access to both sides of the shaft, less maintenance requirements, and higher robustness. An encoder is expensive and a problematic factor. The special motor shaft extension increases the drive's price. The use of encoders affects the reliability, particularly in hostile environments. In general, the operation in explosive, corrosive, or chemically aggressive environments requires a motor without a speed sensor.A variety of different solutions for sensorless AC drives have been proposed, mostly in the past two decades. Their advantages and limits are reviewed in many survey papers .Many methods are generally accepted as better solutions for high sensorless performance, for example, model reference adaptive system (MRAS), Kalman Filters, adaptive non-linear flux observer, sliding mode observers, and other improvements [7-14]. Sensorless Control of Induction MotorTwo basic approaches are used for sensorless control. The first includes methods that model the induction motor by its state equations [1]. A sinusoidal magnetic field in the air gap is assumed.High Performance Control of AC Drives with MATLAB/Simulink Models, First Edition. Haitham Abu-Rub, Atif Iqbal, and Jaroslaw Guzinski.The models are either implemented as open-loop structures, like the stator model [1,11], or as closed-loop models, like adaptive observers [5,17]. The adaptive flux observers are now receiving considerable attention and many achieving new solutions because of their high precision and relative robustness against machine parameter deviation [1,10].Open loop models and even adaptive observers have stability limits at very low stator frequencies. The rotor induced voltage at such operating points is then zero or close to zero, which renders the induction motor an unobservable system.The basic limitation for sensorless operation is the DC offset components in the stator current and voltage acquisition channels at very low speeds [1]. At lower speeds, voltage distortions caused by the PWM inverter become significant.The second approach used for low speed sensorless operation is the signal injection technique [1]. Carrier injection methods for sensorless control are sophisticated and the design must match the properties of the motor [1,4,18,41]. This makes the method unfeasible for practical application, so will not be discussed in this book.Eliminating the speed sensor from the drive system requires estimation of the state variables, for example, motor speed and machine flux using stator variables. In this chapter we will discuss a few simple solutions for sensorless AC motor drives.

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Section: Adaptive Backstepping Observermentioning

confidence: 99%

Sensorless Speed Control of AC Machines

Abu‐Rub

Iqbal

Guziński

2012

High Performance Control of AC Drives With MATLAB/Simulink Models

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“…Vektör kontrolü uygulayabilmek için konum ve hız bilgisine ihtiyaç vardır [19,20]. Kontrol için gerekli olan hız bilgisi, motora bağlanacak hız sensörü vasıtası ile ölçülebileceği gibi motor değişkenleri kullanılarak ta hesaplanabilir [21][22][23].…”

Section: Introductionunclassified

KKG kullanılan hız algılayıcısız SMSM için AYK ve DMK'nin karşılaştırılması

Aktaş

Çavuş

2022

NÖHÜ Müh. Bilim. Derg.

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Bu çalışmada hız sensörsüz sabit mıknatıslı senkron motorun (SMSM) doğrudan moment kontrolü (DMK) ve alan yönlendirmeli kontrol (AYK) benzetim çalışması gerçekleştirilmiştir. Kontrol yöntemleri için gerekli olan hız sinyali kayan kipli gözlemci (KKG) ile elde edilmiştir. Çalışma sonucunda SMSM’nin akım, hız (ölçülen ve tahmin edilen) ve moment sinyalleri elde edilmiştir. DMK ve AYK performansının değerlendirilebilmesi için elde edilen sinyallerin toplam harmonik bozunum (THB) ve ayrık dalgacık dönüşümü (ADD) analizi gerçekleştirilmiştir. Ayrıca ölçülen ve tahmin edilen hız sinyalleri için hata karelerinin ortalamasının karekökü (HKOK) kriteri kullanılarak DMK ve AYK karşılaştırması yapılmıştır. Bu çalışma ile DMK ve AYK yöntemlerinin birbirlerine göre üstün ve eksik oldukları durumlar belirlenmiştir.

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“…For speed and torque control of the PMSM, speed and position of motor must be determined by sensor. However, because of the high cost of sensors, speed control without sensors has come into prominence [17]. For this reason, different speed estimation methods have been proposed [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Direct torque control of permanent magnet synchronous motor for electric vehicles

Çavuş

Aktaş

2020

International Journal of Automotive Engineering and Technologies

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Permanent magnet synchronous motors (PMSM) are highly preferred in electric vehicles due to their high efficiency, good torque-speed characteristics, simple structure and long life. In this paper, the simulation study of direct torque controlled PMSM for electric vehicles was performed in MATLAB by direct torque control (DTC) method using different speed control and speed estimation methods, because output parameters of DTC method such as torque and current, have high ripple, and this ripple should be reduced for electric vehicle. Due to the simple structure of the DTC and its low dependence on the system parameters, it is widely used in alternative current motors. When DTC is used in PMSM drive, it is known that although it has fast dynamic response when it is compared to other vector control methods, the ripple in the torque and flux increases. In this study, direct torque controlled PMSM is tried to be minimized by using different speed control methods and speed estimation methods. For this purpose, proportional-integral (PI), fuzzy logic and sliding mode speed controller are used as speed controllers and their performances are compared. In addition, speed sensor less direct torque control of PMSM was performed by using sliding mode observer and model reference adaptive system (MRAS) observer. As a result of the simulation studies, it was found that sliding mode speed control method provides less ripples in the torque, better speed control and less energy consumption. Furthermore, as a speed observer, the sliding observer gives better results in speed estimation and provides less energy consumption.

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Simulation of speed sensor less control of PMSM based on DTC method with MRAS

Cited by 13 publications

References 8 publications

Sensorless Speed Control of AC Machines

Sensorless Speed Control of AC Machines

KKG kullanılan hız algılayıcısız SMSM için AYK ve DMK'nin karşılaştırılması

Direct torque control of permanent magnet synchronous motor for electric vehicles

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