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Novel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control

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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2018年第13期40卷 3884-3898页

作者： Demir, Ridvan Barut, Murat Nigde Omer Halisdemir Univ Dept Elect & Elect Engn TR-51200 Nigde Turkey

This paper presents a novel hybrid estimator consisting of an extended Kalman filter (EKF) and an active power-based model reference adaptive system (AP-MRAS) in order to solve simultaneous estimation problems of the variations in stator resistance estimation to the EKF. Both the AP-MRAS, whose adaptation mechanism is developed with the help of the least mean squares method in this paper, and the EKF only utilize the measured stator voltages and currents. Performances of the proposed hybrid estimator in this paper are tested by challenging scenarios generated in simulations and real-time experiments. The obtained results demonstrate the effectiveness of the introduced hybrid estimator, together with a reduction in the processing time and size of the estimation algorithm in terms of previous studies performing the same estimations of the states and parameters. From this point of view, it is the first such study in the literature, to our knowledge.

关键词： Induction motors sensorless control extended Kalman filter model reference adaptive system parameter estimation

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Performance of a Modified Stator Current Based model reference adaptive system Observer in Sensorless Induction Motor Drives

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ELECTRIC POWER COMPONENTS AND systemS 2018年第16-17期46卷 1857-1871页

作者： Zaky, Mohamed S. Metwaly, Mohamed K. Azazi, Haitham Z. Deraz, Said A. Menoufia Univ Elect Engn Dept Fac Engn Shibin Al Kawm 32511 Egypt Northern Border Univ Elect Engn Dept Ar Ar 1321 Saudi Arabia

This article presents a modified stator current-based model reference adaptive system (SC-MRAS) observer for sensorless speed control of induction motor (IM) drives. The proposed MRAS algorithm utilizes the actual value and the estimation error of the stator current in an adjustable model of IM. Sensitivity analysis for the IM resistance variations is also studied. To enhance the robustness of the proposed method, an adaptation mechanism employs a fuzzy logic controller (FLC) instead of a conventional PI controller. A detailed simulation study using MATLAB/Simulink is presented. Experimental validation using a DSP-DS1104-based laboratory prototype is provided. Analytical, simulation, and experimental studies proved that superior performance and accurate speed estimation of the proposed observer at very low speed under different operating conditions are achieved.

关键词： model reference adaptive system fuzzy logic controller sensorless speed control stability analysis sensitivity analysis

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A Compensation Method for Full-Digital Sensorless Control of Permanent Magnet Synchronous Machine based on model reference adaptive system

A Compensation Method for Full-Digital Sensorless Control of...

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IEEE International Conference on Electrical systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS) / International Transportation Electrification Conference (ITEC)

作者： Liu, Feipeng Xu, Lie Liu, Ran Zheng, Zedong Wang, Kui Li, Yongdong Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing Peoples R China

ISBN: (纸本)9781538641927

model reference adaptive system (MRAS) has become a widely used sensorless control strategy in motor drive application. This paper focuses on the sensorless control for the permanent magnet synchronous machine (PMSM) based on MRAS and presents a compensation method that can eliminate steady-state position error caused by full-digital control, which is essential for high-performance control of the high-speed PMSM. The primary MRAS control method is introduced first in this paper. Meanwhile, this article puts forward the problems existing in the traditional digital control process and analyses the cause of the issues. In response to the above problems, an improved MRAS control strategy is proposed, which considers both the existence and the absence of one-beat-delay in the process of modulation. The proposed compensation method can eliminate the steady-state angle error and achieve the accurate control of the machine. Simulation studies verify the validity of the proposed strategy.

关键词： model reference adaptive system full-digital sensorless control compensation method steady-state position error permanent magnet synchronous machine

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Sensorless Speed Control of High-Speed Permanent Magnet Synchronous Motor based on model reference adaptive system

Sensorless Speed Control of High-Speed Permanent Magnet Sync...

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第三十八届中国控制会议

作者： Limei Tian Yanzhao He Ming Lu Yingguang Wang Yuewei Hu Beijing Institute of Control Engineering Beijing Sunwise Space Technology Ltd

In this paper,a model reference adaptive system(MRAS)is implemented for speed control of sensorless high-speed permanent magnet synchronous motor(HS-PMSM).Associated with vector control,the MRAS speed estimator and the Popov hyper-stability theory is utilized to design the HS-PMSM control *** responses of HS-PMSM speed and current are studied during different conditions of speed reference and load torque ***,robustness against the parameter perturbation of stator resistance,inductance and controller parameters are proven in this *** control performance comparative studies between the introduced MRAS estimator and the actual motor model are evaluated in Matlab/Simulink *** effectiveness of the sensorless HS-PMSM speed control based on MRAS is validated.

关键词： High-speed Permanent Magnet Synchronous Motor model reference adaptive system Sensorless Speed Control Popov Hyper-stability Theory

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Sensorless Vector Control of Three-Phase Permanent Magnet Synchronous Motor Based on model reference adaptive system

Sensorless Vector Control of Three-Phase Permanent Magnet Sy...

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IEEE 4th International Conference on Control Science and systems Engineering (ICCSSE)

作者： Shi Chenxing Wang Chen Univ Chinese Acad Sci Xian Inst Opt & Precis Mech Chinese Acad Sci Xian Shaanxi Peoples R China Chinese Acad Sci Xian Inst Opt & Precis Mech Xian Shaanxi Peoples R China

ISBN: (纸本)9781538678879

The speed sensorless vector control system not only saves the speed sensor but also reduces the size of the system device. It reduces the cost and improve the system's operating accuracy and reliability, which has strong practical value and economic benefits. Now many scholars have engaged in research in this area and achieved some results in simulation research, laying a solid foundation for practical applications basis. The model reference adaptive system(MRAS) was developed from the late 1950s which belongs to a type of adaptive system. From the structure, MRAS can be divided into three parts: adjustable model, reference model and adaptive law. The idea of MRAS identification is to use an expression that does not contain unknown parameters as the expected model, and an expression that contains the parameters to be identified is used in the adjustable model. And the two models have the same physical significance of output. Using two models of the difference in the output amount is achieved through the appropriate adaptive law to identify the parameters of the PMSM (Permanent Magnet Synchronous Motor). This paper designs a three-phase PMSM sensorless vector control system based on MRAS. The simulation model and results are given and analyzed.

关键词： permanent magnet synchronous motor model reference adaptive system identification adjustable model reference model adaptive law

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Sensorless Vector Control of Permanent Magnet Synchronous Motor Based on model reference adaptive system 3

Sensorless Vector Control of Permanent Magnet Synchronous Mo...

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3rd IEEE International Conference on Computer and Communications (ICCC)

作者： Wu, Jiaxin Wei, Hanpei Zhang, Yi Wei, Haifeng Jiangsu Univ Sci & Technol Zhenjiang Peoples R China

ISBN: (纸本)9781509063529

The paper analyze the basic principle of model reference adaptive system(MRAS) algorithm. In this paper, rotor position and speed estimation algorithm of permanent magnet synchronous motor was deduced based on MRAS, and it is applied to sensorless vector control system of permanent magnet synchronous motor. Sensorless vector control system based on MRAS is built under the Matlab/Simulink environment. The simulation experiment and result analysis for the situation of motor's starting, speed mutation and load mutation are done. Simulation results prove that the sensorless vector control system of permanent magnet synchronous motor based on the algorithm of MRAS takes good control performance, and the algorithm can accurately estimate the rotor position and speed of the motor.

关键词： permanent magnet synchronous motor model reference adaptive system sensorless control vector control

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Speed Sensorless of a Bearingless Induction Motor Based on Super-Twisting-model reference adaptive system 20

Speed Sensorless of a Bearingless Induction Motor Based on S...

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20th IEEE International Conference on Electrical Machines and systems (ICEMS)

作者： Sun, Weiming Yang, Zebin Sun, Xiaodong Zhang, Dan Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Jiangsu Peoples R China

ISBN: (纸本)9781538632468

In view of the magnetic chain recognition accuracy problem of the bearingless induction motor (BIM) under direct torque control (DTC), a speed sensorless based on Super-Twisting-model reference adaptive system (MRAS) is proposed. The speed sensoerless makes rotor flux on the foundation of Super-Twisting second-order sliding mode as a reference model. The speed sensorless is constructed by using MRAS to obtain accurate velocity observations. In addition, through the construction of stator resistance adaptive, the stator resistance can be identified and corrected on-line, so as to solve the problem of the speed identification error when the stator resistance changes at the start. The simulation and experimental results show that the speed sensorless based on Super-Twisting-model reference adaptive system and stator resistance adaptive is test more accurate, this method can not only have strong robustness to the variations of stator resistance, but also have characteristics of wide speed regulation and fast transient torque response simultaneously.

关键词： Bearingless Induction Motor (BIM) model reference adaptive system Robustness Super-Twisting

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A Neural Network model reference adaptive system for Speed Estimation of Sensorless Induction Motor 29

A Neural Network Model Reference Adaptive System for Speed E...

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第29届中国控制与决策会议

作者： Youlin Yang College of Engineering Bohai University

ISBN: (纸本)9781509046584

A neural network model reference adaptive system is designed for speed estimation of sensorless induction *** neural network identifier is used as reference model to replace the voltage model of rotor *** improves the accuracy of speed estimation under the interference of parameters such as winding resistance and mutual *** the basis of model reference adaptive system,the single neuron adaptive algorithm is applied to increase the robustness of system compared with the PI regulation *** simulation results have shown that the neural network model reference adaptive system has better accuracy and stronger stability than ordinary model reference adaptive system for speed estimation of sensorless induction motor.

关键词： model reference adaptive system Neural Network Speed Estimation Sensorless Induction Motor

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Parallel Stator Resistance Estimator Using Neural Networks for Rotor Flux Based model reference adaptive system Speed Observer

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ELECTRIC POWER COMPONENTS AND systemS 2016年第6期44卷 658-672页

作者： Dyanamina, Giribabu Pathak, Mukesh Kumar Srivastava, Satya Prakesh Natl Inst Technol Kurukshetra Dept Elect Engn Kurukshetra 136119 Haryana India Indian Inst Technol Dept Elect Engn Roorkee Uttar Pradesh India

model reference adaptive system schemes offer simpler implementation and require less computational effort compared to other speed sensorless methods. The performance of rotor flux based model reference adaptive system schemes at low-speed operation is poor because of parameter sensitivity and presence of the integrator in the reference model. As stator resistance inevitably varies with temperature, for accurate operation at low speeds, an appropriate online identification algorithm for the stator resistance is required. In this article, a neural network based parallel stator resistance and rotor speed estimator has been proposed to simultaneously rectify the limitation of model reference adaptive system schemes, i.e., stator resistance variation and DC offset due to integrator, employing a neutral network in stator resistance estimator and modifying the reference model by adding a compensating voltage term. An indirect sensorless vector control scheme has been simulated and experimentally validated using the dSPACE DS-1104 R&D controller board (dSPACE GmbH, Paderborn, Germany) to verify the performance of drives at different operating conditions.

关键词： induction motor model reference adaptive system neural networks speed observer stator resistance estimator indirect vector control low speed sensorless integrator

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Estimation of Stator Resistance and Rotor Speed for IPMSG Using model reference adaptive system

Estimation of Stator Resistance and Rotor Speed for IPMSG Us...

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IEEE International Energy Conference (ENERGYCON)

作者： Barisa, Tin Erceg, Igor Markovic, Ivor Fac Elect Engn & Comp Dept Elect Machines Drives & Automat Zagreb Croatia Polytech Zagreb Dept Elect Engn Zagreb Croatia

ISBN: (纸本)9781467384636

In order to achieve optimal control of an interior permanent magnet synchronous generator (IPMSG) used in wind power plants, parameters of the generator need to be identified or estimated. Furthermore, since mechanically mounted speed sensors can cause plant failures, sensorless control is preferred and generator rotor speed needs to be estimated. model reference based methods are one of the most used methods for combined stator resistance and rotor speed estimation in permanent magnet synchronous motors. In this paper an estimation of stator resistance and rotor speed using model reference adaptive system (MRAS) is presented. The MRAS consists of the reference and adjustable model where the reference model is used to determine the required states (d and q current components) and the adaptive model provides the estimated values of the states. Simulations were conducted for different rotor speed values and expected stator resistance variation due to temperature increase under load. Simulation results show that the MRAS model gives satisfactory estimates of rotor speed and stator resistance.

关键词： interior permanent magnet synchronous generator model reference adaptive system speed and stator resistance estimation

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