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1

Improved current regulators for sensorless synchronous reluctance motor

Gati Gati, Serhoud Algeria , E-mail: gati-miloud@univ-eloued.dz; dr. Serhoud H, Djaghdali Lakhdar

Przegląd Elektrotechniczny

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2023

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R. 99, nr 8

237--244

EN

To achieve rapid response, good tracking performance and high efficiency, different types of control strategies have been adopted for synchronous reluctance motors (SynRMs). In this paper, a new approach to rotor speed estimation of a sensorless reluctance synchronous motor is proposed. It consists of replacing the conventional PI current controller with that based on model predictive control (MPC) using the adaptive model reference estimator (MRAS) upstream. The stator current and speed are first estimated by the MRAS technique and then injected into the MPC block to calculate the reference voltage vector (RVV). This new approach which takes into account all the mechanical and electrical variables in a control law via a new cost function allows to obtain the signals switched to the power converter. The overall system is implemented in MATLAB/SIMULINK.

PL

Aby osiągnąć szybką reakcję, dobrą wydajność śledzenia i wysoką wydajność, przyjęto różne typy strategii sterowania dla synchronicznych silników reluktancyjnych (SynRM). W artykule zaproponowano nowe podejście do szacowania prędkości obrotowej wirnika bezczujnikowego reluktancyjnego silnika synchronicznego. Polega ona na zastąpieniu konwencjonalnego regulatora prądu PI regulatorem opartym na modelowym sterowaniu predykcyjnym (MPC) z wykorzystaniem adaptacyjnego estymatora odniesienia modelu (MRAS). Prąd i prędkość stojana są najpierw szacowane za pomocą techniki MRAS, a następnie wprowadzane do bloku MPC w celu obliczenia wektora napięcia odniesienia (RVV). To nowe podejście, które uwzględnia wszystkie zmienne mechaniczne i elektryczne w prawie sterowania za pomocą nowej funkcji kosztu, pozwala na uzyskanie sygnałów przełączanych do przekształtnika mocy. Cały system jest zaimplementowany w środowisku MATLAB/SIMULINK.

2

Sensorless Induction Motor Drive Based on Model Reference Adaptive System Scheme Utilising a Fictitious Resistance

Hajji Soufien, Chehida Ramzi Ben, Zayani Hichem, Bouaziz Noomen, Zorgani Youssef Agrebi

Power Electronics and Drives

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2020

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Vol. 5 (40)

199--212

EN

This article presents a new development of an indirect stator flux-oriented controller for sensorless speed induction motor drive utilising instantaneous and steady-state values, respectively, of a fictitious resistance symbolised as R_f. The dimension of the fictitious quantity, in this context, is the ohm, which is the difference between the stator d- and q-axis fictitious resistances. However, from the measurement of the stator voltage and currents of the machine, two independent resistance estimators are built. Therefore, the first is considered as a reference model of the induction machine (IM), and the second is considered as an adjustable model. Subsequently, the error between the states of the two models is used to drive a suitable adaptation mechanism that generates the estimation of the speed, for the adjustable model. Furthermore, the structure of the proposed estimator is free from stator resistance and eliminates the requirement of any flux computation. All the detailed simulation study is carried out in MATLAB/Simulink to validate the proposed method and to highlight the robustness and the stability of the proposed model reference adaptive system estimator.

3

Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives

Adamczyk Michał

Power Electronics and Drives

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2020

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Vol. 5 (40)

143--156

EN

In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.

4

A Very-Low-Speed Sensorless Control Induction Motor Drive with Online Rotor Resistance Tuning by Using MRAS Scheme

Zorgani Youssef Agrebi, Jouili Mabrouk, Koubaa Yassine, Boussak Mohamed

Power Electronics and Drives

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2019

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Vol. 4 (39)

125--140

EN

A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.

5

A very-low-speed sensorless control induction motor drive with online rotor resistance tuning by using MRAS scheme

Agrebi Zorgani Y., Jouili M., Koubaa Y., Boussak M.

Power Electronics and Drives

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2018

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Vol. 3 (38), No. 1

171--186

EN

A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.