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Review on model reference adaptive system for sensorless vector control of induction motor drives

IET ELECTRIC POWER APPLICATIONS 2015年第7期9卷 496-511页

作者： Kumar, Rakesh Das, Sukanta Syam, Prasid Chattopadhyay, Ajit Kumar Indian Sch Mines Dept Elect Engn Dhanbad Jharkhand India Indian Inst Engn Sci & Technol Dept Elect Engn Howrah W Bengal India

The most frequently used electrical machine in various modern high-performance drive applications is the induction motor (IM), especially its squirrel cage type rotor counterpart. The high-precision, efficient control of sensorless IM drives throughout its operating range demands an exact knowledge of a few of the IM parameters. The stator resistance, rotor resistances are such important IM parameters whose variations may lead to improper estimation of speed over the whole operating range in sensorless drives. Numerous methods for the estimation of speed of high-performance sensorless IM drives taking into account the effect of parameter variations have been developed. This paper aims at providing a review of the major model reference adaptive system (MRAS) based techniques applied for the estimation of speed of such sensorless drives. This paper is illustrated throughout with relevant mathematical equations, experimental and simulation results, associated to different MRAS-based sensorless vector control of the IM drive.

关键词： induction motor drives squirrel cage motors model reference adaptive control systems machine vector control sensorless machine control stators rotors model reference adaptive system sensorless vector control induction motor drives electrical machine squirrel cage type rotor stator resistance rotor resistances speed estimation high-performance sensorless IM drives MRAS based techniques mathematical equations

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Four-switch Three-phase Inverter Performance Fed Sensorless Speed Control Induction Motor Drives Using model reference adaptive system

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ELECTRIC POWER COMPONENTS AND systemS 2014年第7期42卷 727-736页

作者： Metwally, Mohamed Kamel Azazi, Haitham Zaki Menoufiya Univ Dept Elect Engn Fac Engn Menoufia Shebin Elkom Egypt

Abstract-This article presents an investigation of four-switch inverter performance fed three-phase induction motor drives. Speed estimation is based on fundamental wave models using a model reference adaptive system as a speed estimator technique. The motor is fed from a four-switch three-phase inverter. A comparative study for sensorless speed estimation using a four-switch three-phase inverter, and a six-switch inverter is simulated and experimentally investigated at different operating conditions. Also, a comparison of system performance based on the four-switch inverter and conventional six-switch inverter in terms of speed response and total harmonic distortion of stator currents is presented. Experimental and simulation results at different points of operation are presented, verifying the robustness of sensorless speed estimation at different load levels. Sensorless speed estimation based on the four-switch three-phase inverter is quite acceptable considering its speed response.

关键词： digital signal processor sensorless control six-switch inverter model reference adaptive system Induction motor total harmonic distortion four-switch inverter

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model reference adaptive system Based adaptive Speed Estimation for Sensorless Vector Control with Initial Rotor Position Estimation for Interior Permanent Magnet Synchronous Motor Drive

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ELECTRIC POWER COMPONENTS AND systemS 2013年第1期41卷 47-74页

作者： Khlaief, Amor Boussak, Mohamed Gossa, Moncef Ecole Cent Marseille Marseille France ESSTT Tunis Tunisia

The rotor position/speed sensor used to control the permanent magnet synchronous motor drive has increased size and cost, decreased reliability, and a need for shaft extension and mounting arrangements. Sensorless control is currently adopted in many industrial applications for reasons of robustness, cost, cabling, and reliability. In order to achieve correct operation from zero speed startup of a sensorless salient-pole permanent-magnet synchronous motor (the interior permanent magnet synchronous motor), the initial rotor position of the motor is required. A model reference adaptive system technique has been used for speed estimation in sensorless speed control of the interior permanent magnet synchronous motor with space vector pulse width modulation. This article presents a new approach to improved initial rotor position detection of an interior permanent magnet synchronous motor. The method uses a suitable sequence of short and long time voltage pulses applied to the stator coil at standstill. Short time voltage pulses are applied to the motor terminals to detect the initial rotor position. Long time voltage pulses are used for detection of the magnet polarity based on the effect of saturation. The measurement of the current peaks values gives information about the initial rotor position. Simulation and experimental results are presented and show the validity of the proposed method, which is capable of reliable initial rotor position detection, including the polarity of the magnet at standstill. The error initial rotor position detection is less than 5 mechanical degrees. Experimental results are presented for an interior permanent magnet synchronous motor obtained on a fixed-point digital signal processor based control system. Experimental results show that the modeled reference adaptive system technique speed estimation provides high-performance sensorless control and initial rotor position estimation algorithms of the interior permanent magnet synchronous mot

关键词： interior permanent magnet synchronous motor vector field-oriented control space vector pulse-width modulation sensorless control model reference adaptive system initial rotor position detection digital signal processor

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Robust stator resistance identification of an IM drive using model reference adaptive system

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ENERGY CONVERSION AND MANAGEMENT 2013年 65卷 507-517页

作者： Kojabadi, Hossein Madadi Abarzadeh, Mostafa Farouji, Said Aghaei Sahand Univ Tech Renewable Energy Res Center Dept Elect Eng Tabriz 513351996 Iran

model reference adaptive system (MRAS) based robust stator resistance estimator for sensorless induction motor (IM) drive is proposed. The MRAS is formed with a semi-active power quantity. The proposed identification method can be achieved with on-line tuning of the stator resistance with robustness against rotor resistance variations. Stable and efficient estimation of IM speed at low region will be guaranteed by simultaneous identification of IM speed and stator resistance. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. Simulation and experimental results are given to highlight the feasibility, the simplicity, and the robustness of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Active power Hyperstability Induction motor model reference adaptive system Stator resistance estimation Robust control

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Neural Network model reference adaptive system Speed Estimation for Sensorless Control of a Doubly Fed Induction Generator

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ELECTRIC POWER COMPONENTS AND systemS 2013年第12期41卷 1146-1158页

作者： Antonio Cortajarena, Jose De Marcos, Julian Univ Basque Country Dept Elect Technol Eibar 20600 Spain

This article proposes a neural network model reference adaptive system for the rotor angle and speed estimation of the doubly fed induction generator used in wind turbines. The model reference adaptive system reference signal is the measured rotor current. The adaptive neural network adjusts the weights minimizing the rotor current vector squared error using the steepest descent algorithm. The neural network maximum stable learning rate will be determined for this application. The validity of the proposed neural network model reference adaptive system is verified and analyzed in a real prototype of 7.5-kW doubly fed induction generator. To validate the proposed estimator, the estimated rotor angle and speed in the process of connecting the doubly fed induction generator to the grid and the sensorless regulation according to a random wind speed profile are presented.

关键词： doubly fed induction generator wind energy neural network model reference adaptive system rotor angle and speed estimation

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An innovative MRAS-based technique for online detection of short-circuit faults in three-phase induction motor windings

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ELECTRICAL ENGINEERING 2025年第4期107卷 5269-5290页

作者： Milles, Abdessmad Benbouhenni, Habib Debdouche, Naamane Yessef, Mourad Elbarbary, Z. M. S. Univ Bordj Bou Arreridj Fac Technol Lab Phys Mat Radiat & Nanostruct Bordj Bou Arreridj 34000 Algeria Ecole Natl Polytech Oran Lab LAAS Bp 1523 Mnaouer Oran Algeria Bros Mentouri Univ Lab Elect Constantine LEC Constantine 25000 Algeria Univ Sidi Mohamed Ben Abdallah LIMAS Lab Fes Morocco King Khalid Univ Coll Engn Dept Elect Engn POB 394 Abha 61421 Saudi Arabia King Khalid Univ Ctr Engn & Technol Innovat Abha 61421 Saudi Arabia

Fault diagnosis of induction motors (IMs) through stator stream analysis is a key area in maintenance systems due to its non-invasive nature and low hardware and software requirements. However, the industrial application of this method faces challenges, particularly in estimating stator winding resistance accurately, especially in large IMs operating at shallow slips. The fundamental leakage can mask fault components until the damage is severe, often leading to short circuits. This article suggests a new approach for fault diagnosis based on analyzing the difference in errors between actual stator streams and estimated currents obtained from a virtual model of the IM. These differences are indicators of estimation errors. To enhance fault detection, these error values are multiplied by the estimated stator currents, forming the basis of an adaptive mechanism. This mechanism utilizes proportional-integral regulators to adjust the estimation process, improving the accuracy of detecting asymmetric faults across all stator phases. The estimation of stator winding resistance, which changes due to intern-turn short circuits, is achieved online using a classical model reference adaptive system. However, estimating stator resistance in a reference frame is challenging, particularly when an incipient short circuit fault is present. The stability of the designed method is ensured through the application of Popov's criterion of inequality in its design. Popov's criterion guarantees system stability under various operating conditions. By incorporating Popov's criterion into the design, the designed technique can maintain stability while accurately detecting and estimating different levels of short-circuit faults in various IM operating modes. Empirical results demonstrate the effectiveness and significance of the designed strategy in fault diagnosis of IMs, highlighting its potential for practical industrial application.

关键词： Induction motor Maintenance systems Fault diagnosis Estimated currents Intern-turn short circuits model reference adaptive system

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Stator flux based-MRAS position/speed observer of sensorless switched reluctance motor drives including startup operation

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AIN SHAMS ENGINEERING JOURNAL 2025年第1期16卷

作者： Maksoud, Hady Abdel Zaky, Mohamed S. Northern Border Univ Coll Engn Dept Elect Engn Ar Ar 1321 Saudi Arabia Menoufia Univ Fac Engn Dept Elect Engn Shibin Al Kawm 32511 Egypt

This paper introduces a new sensorless approach-based model reference adaptive system (MRAS) for switched reluctance motor (SRM). A simplified nonlinear model is derived using phase-inductance-based finite element (FE) analysis. A hybrid sensorless model is integrated to calculate the rotor position over a wide range. MRAS is designed to calculate the speed and rotor position based on a derivative inductance model at all motor speeds unless at starting operation. A simple ramp function with low frequency is utilized to energize the motor phases at a standstill where the electrical quantities are unobservable. The proposed combined sensorless demands neither additional equipment nor sophisticated computation for real execution. To validate the precision and robustness of the suggested observer, simulation and experimental results are presented over a wide range from zero speed to the rated at 1500 rpm. Good accuracy with estimated errors of less than 1 % in most modes of operation is achieved.

关键词： model reference adaptive system SRM Sensorless Rotor position estimation FEA

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Sensorless control of bearingless induction motor based on fuzzy dual sliding mode MRAS

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ELECTRICAL ENGINEERING 2025年第5期107卷 5737-5747页

作者： Shen, Zijun Yang, Zebin Sun, Xiaodong Pan, Wei Jiangsu Univ Sch Elect Informat Engn Zhenjiang 212013 Peoples R China Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Peoples R China

To improve the speed estimation accuracy and robustness of Bearingless Induction Motors (BIM) in the control system, a sensorless control strategy based on a fuzzy dual sliding mode model reference adaptive system (MRAS) is proposed. Two sliding mode surfaces are constructed using the flux linkage deviation between the reference model and the adjustable model based on the traditional MRAS method for speed adaptive estimation. Equivalent control is obtained through the sliding mode control algorithm, improving the original adaptive law of MRAS and thus enhances the accuracy of speed estimation. To mitigate the chattering phenomenon associated with sliding mode control, a fuzzy logic controller is designed. The states and change rates of the two sliding mode surfaces are used as inputs to dynamically adjust the sliding mode control gain parameters, resulting in the construction of a fuzzy dual sliding mode MRAS sensorless control system. Both simulation and experimental results demonstrate that the fuzzy dual sliding mode MRAS system not only enhances the rotor suspension performance of BIM but also improves speed estimation accuracy and robustness. The system's adaptability to parameter uncertainties and external disturbances is increased, enhancing the overall performance of the BIM.

关键词： Bearingless induction motor model reference adaptive system Dual-Sliding mode Fuzzy control Sensorless control

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Fractional order second-order sliding mode MRASO for SPMSM

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MEASUREMENT & CONTROL 2024年第7期57卷 863-870页

作者： Liu, Jun-Feng Feng, Yuan Yu, Jian-Yong Tang, Jing-Wei Zhang, Lei Zhengzhou Railway Vocat & Tech Coll Zhengzhou Henan Peoples R China Hunan Coll Informat Changsha Hunan Peoples R China Beihua Univ North Campus Jilin 132013 Peoples R China

To improve the accuracy of the sensorless control system for permanent magnet synchronous motors, this paper proposes the based on fractional order integral sliding mode theory in the model reference adaptive system observer. The purpose of this approach is to enhance the robustness of the system. Furthermore, this paper introduces the second-order sliding mode reaching law to suppress chattering phenomena and improve the control accuracy of the observer. Simulation results show that this strategy achieves excellent dynamic and static performance.

关键词： Sensorless control sliding mode chattering model reference adaptive system

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Robust and adaptive speed control for BDFRGs: a novel MRAS-based sensorless approach for wind power applications

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ELECTRICAL ENGINEERING 2025年 1-15页

作者： Kumar, Mukesh Pal, Abhisek Govt Engn Coll Dept Elect Engn Jamui 811313 India Thapar Inst Engn & Technol Dept Elect & Instrumentat Engn Patiala India

The rising demand for wind power generation has spurred interest in brushless doubly-fed reluctance generators (BDFRGs) as a more efficient, low-maintenance alternative to traditional doubly-fed induction generators. This study introduces a sensorless speed control technique for BDFRGs that integrates primary field-oriented control with a novel model reference adaptive system (MRAS) based on a modified fictitious quantity method (mXs-MRAS). The proposed MRAS algorithm is parameter-independent and eliminates the need for integrator and differentiator components, enhancing robustness and adaptability across diverse operating conditions. Performance is compared with conventional Xs-MRAS in MATLAB/Simulink, with additional stability and the effects of parameter mismatch analyses confirming the system's robustness. Experimental tests on a 1.6 kW BDFRG prototype further validate the stable performance of the proposed control method, underlining its potential for advancing sensorless control in wind power applications through increased efficiency and reduced maintenance.

关键词： AC motor drives Brushless doubly-fed reluctance generator Doubly-fed machines Estimation model reference adaptive system Primary field-oriented control Wind power generation

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