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A High Torque Estimation Accuracy Direct Torque Control of Permanent Magnet Synchronous Motor Based on a Novel Iron Loss Resistance Observer

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IEEE ACCESS 2021年 9卷 125822-125829页

作者： Jin, Zhen Yang, Jianfei Qiu, Xin Ge, Haorui Bai, Chenguang Nanjing Normal Univ Sch Elect & Automat Engn Nanjing 210046 Peoples R China Jiangsu Key Lab 3D Printing Equipment & Mfg Nanjing 210042 Peoples R China

This paper proposes a direct torque control (DTC) of permanent magnet synchronous motor (PMSM) with high torque estimation accuracy. Based on the PMSM mathematical model considering iron loss resistance, this paper analyzes that when using stator current to estimate torque, the accuracy will be affected by iron loss resistance. Using stator magnetizing current can solve the current deviation caused by iron loss resistance and improve torque estimation accuracy. Since the stator magnetizing current cannot be obtained directly, a novel iron loss resistance observer based on the model reference adaptive system (MRAS) is designed to estimate iron loss resistance and stator magnetizing current simultaneously. Popov's hyperstability theory guarantees the stability of the designed observer. Finally, a 1kW PMSM experimental platform is constructed to verify the proposed method. Both the simulation and experimental results show that the designed observer is stable, and using stator magnetizing current to estimate torque has better accuracy than stator current.

关键词： Stators Iron Mathematical model Torque Resistance Estimation Couplings Permanent magnet synchronous motor direct torque control model reference adaptive system iron loss resistance stator magnetizing current

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Comparison between PI-DTC-SPWM and fuzzy logic for a sensorless asynchronous motor drive

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Protection and Control of Modern Power systems 2021年第1期6卷 430-442页

作者： Soukaina El Daoudi Loubna Lazrak Laboratory of Automatic Energy Conversion and MicroelectronicsFaculty of Sciences and TechnologySultan Moulay Slimane UniversityBeni MellalMorocco

Currently, asynchronous cage motors are among the most commonly requested machines accentuated by their extension to the field of electric vehicles. Therefore, the development of robust and sophisticated controls for this machine is of significant interest. Artificial intelligence control techniques, such as fuzzy logic, are at the forefront of recent research. However, their design becomes much more complicated for a motor via a multilevel inverter. The main purpose of this paper is to show that it is possible to achieve fuzzy logic control of a squirrel cage asynchronous motor supplied via the usual two-level inverter. This is achieved, by adopting a DTC strategy based on a sinusoidal PWM with multilevel inverter. It employs a feedback information estimator with dual structure between the sliding mode observer at low speed and the model reference adaptive system in sliding mode at high speed. For both installations, speed is regulated using a sliding mode controller.

关键词： Asynchronous motor Direct torque control Fuzzy logic control model reference adaptive system Sliding mode control Sliding mode observer

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Stator Flux Producing Current-Based Promoted Rotor Angle Estimator of Doubly-Fed Induction Generator for Encoderless Operations

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IEEE SENSORS JOURNAL 2021年第13期21卷 15133-15141页

作者： Gayen, Pritam Kumar Kalyani Govt Engn Coll Elect Engn Dept Kalyani 741235 W Bengal India

In the context of position or speed sensorless control scheme, an improved rotor position estimation process for doubly-fed induction generator (DFIG) is presented in this paper. model reference adaptive system (MRAS) is considered for the computation of rotor position. The stator flux producing current is taken as main working variable for the estimator. The estimator has various desirable features such as free from integrator-differentiator based computation, no information needed about initial rotor position (catch on fly operation), capability to work at very low slip condition (near synchronous speed operation), non-involvement of flux calculation, negligibly sensitive to mismatch in machine parameters. The major advantage of the proposed scheme is that it is insensitive to magnetizing inductance and rotor resistance of the electrical machine. Also, the novelty of the estimator lies in the fact that the suggested estimator works stably and accurately from very light load to full load operating conditions. The robust operation of proposed estimator is verified through real-time experimental set up.

关键词： Rotors Stators Adaptation models Doubly fed induction generators Integrated circuit modeling Mathematical model Sensors Rotor position estimator stator flux producing current model reference adaptive system machine parameter sensitivity wide loading conditions doubly-fed induction generator

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A Nonlinear Direct Power Controller for a Three-Phase Grid-Connected Inverter with Online Parameter Update for PV Application

A Nonlinear Direct Power Controller for a Three-Phase Grid-C...

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14th Annual IEEE Energy Conversion Congress and Exposition (IEEE ECCE) / IEEE-Industry-Applications-Society (IEEE-IAS) Annual Meeting

作者： Chowdhury, Vikram Roy Singh, Akanksha Natl Renewable Energy Lab Golden CO 80401 USA

ISBN: (数字)9781728193878

ISBN: (纸本)9781728193878

This work proposes a nonlinear direct power controller for a three-phase grid-connected inverter for photovoltaic application. Grid-connected converters for solar applications require advanced control architectures to ensure optimal operation and extraction of maximum power from the photovoltaic arrays. Therefore, to ensure this, a nonlinear power controller architecture has been proposed to extract the maximum power from the solar arrays and to achieve the most optimal operation. To further improve the performance, a parameter update scheme has been utilized which is based on model reference adaptive system. The latter helps to accomplish not only good dynamic response but also excellent tracking performance. The overall control come estimation architecture is verified based on computer simulations via MATLAB/Simulink and PLECS domain and various important case study results are presented.

关键词： Three-phase inverter grid-connected inverter direct power control model reference adaptive system

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adaptive Neuro Fuzzy Inference system Based Decoupled Control for Neutral Point Clamped Multi Level Inverter Fed Induction Motor Dri

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Chinese Journal of Electrical Engineering 2021年第2期7卷 70-82页

作者： Giribabu Dyanamina Sanjay Kumar Kakodia Department of Electrical Engineering Maulana Azad National Institute of TechnologyBhopalM.P 462003India

The presence of an integrator in a reference model of a rotor flux-based model reference adaptive system(RF-MRAS)and non-linearity of the inverter in the output voltage degrade the speed response of the sensorless operation of the electric drive system in terms of DC drift,initial value issues,and inaccurate voltage *** improve the speed response,a compensating voltage component is supplemented by an amending *** compensating voltage is a coalition of drift and offset voltages,and reduces DC drift and initial value *** low-speed operation,inaccurate voltage acquisition distorts the stator voltage critically,and it becomes considerable when the stator voltage of the machine is *** a three-level neutral point clamped inverter in speed-sensorless decoupled control of an induction motor improves the performance of the drive with superior quality of inverter output ***,the performance of the induction motor drive is improved by replacing the proportional-integral(PI)controller in the adaption mechanism of RF-MRAS with an adaptive neuro-fuzzy inference system(ANFIS)controller.A prototype model of the three-level neutral point clamped inverter(3L-NPC)-fed induction motor drive is fabricated in a laboratory,and its performance for a RF-MRAS,modified RFMRAS,and modified RFMRAS using ANFIS are compared using different benchmark tests.

关键词： Induction motor drive vector control neutral point clamped inverter model reference adaptive system ANFIS

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PSO technique applied to sensorless field-oriented control PMSM drive with discretized RL-fractional integral

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ALEXANDRIA ENGINEERING JOURNAL 2021年第4期60卷 4029-4040页

作者： Ahmed, Waleed Abd El Maguid Adel, Mahmoud M. Taha, M. Saleh, Amr A. Fayoum Univ Fac Engn Engn Math & Phys Dept Al Fayyum 63514 Egypt Zewail City Sci & Technol Giza 12578 Egypt Fayoum Univ Fac Engn Dept Elect Al Fayyum 63514 Egypt Cairo Univ Fac Engn Dept Elect Giza 12613 Egypt

This paper introduces a Fractional Order Field Oriented Control (FO-FOC) with sensor less model reference adaptive system (MRAS) for the Permanent Magnet Synchronous Motor (PMSM). In this work, the conventional integer controllers of the vector control method are replaced with the Fractional Order PI (FOPIa) controllers. Particle Swarm Optimization technique (PSO) is employed to tune the gain, integration parameter and the fractional order parameter for each of the speed, current and MRAS controllers to get the optimum values. The presented methodology is tested using MATLAB Simulink simulation and the results show improved performance of the field oriented control technique by the employment of the fractional order controllers instead of the conventional integer at different operating points. Furthermore, the additional degree of freedom in the fractional controllers helps the PSO technique to get the optimum cost at a very low number of iterations compared with that of the integer one. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

关键词： Fractional calculus Field oriented control model reference adaptive system Sensorless Control Particle swarm optimization Permanent magnet synchronous motor

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Sensorless adaptive rotor flux direct vector-controlled induction motor drive based on fuzzy logic control flux estimator

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JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2021年第2期40卷 966-977页

作者： Kuo, Ying-Piao Ji, Yan-Chen Natl Chin Yi Univ Technol Dept Elect Engn 57Sec 2Zhongshan Rd Taichung 41170 Taiwan

In this paper, we propose the application of a speed estimation strategy to a fuzzy logic control flux estimator for a sensorless adaptive rotor flux direct-vector-controlled (RFDVC) induction motor drive. The RFDVC induction motor drive was established using the stator current and rotor flux, with the stator current being obtained from the induction motor. The model reference adaptive system (MRAS) theory was utilized to develop an adaptive rotor flux estimator based on voltage-model and current-model flux estimators. The estimated rotor speed and synchronous angle position are derived from the adaptive flux estimator. The adjustment mechanism of this estimator was designed using the fuzzy logic control strategy because this scheme is simple, easy to implement, and requires no precise information about the mathematical model. The MATLAB/Simulink (R) toolbox was used to simulate this system, and all the control algorithms were realized using a TI 6713-and-F2812 DSP card to validate this approach. Both the simulation and experimental results (including the estimated rotor speed, electromagnetic torque, and stator flux locus) confirmed the effectiveness of the proposed system and thereby validate the proposed approach.

关键词： Sensorless rotor flux direct vector control model reference adaptive system flux estimator fuzzy logic control strategy

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Loss minimization vector-controlled SPMSM based on online parameter identification 33

Loss minimization vector-controlled SPMSM based on online pa...

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33rd Chinese Control and Decision Conference (CCDC)

作者： Huang, Guanghua Zhang, Niaona Changchun Univ Technol Coll Elect & Elect Engn Changchun 130012 Peoples R China

ISBN: (纸本)9781665440899

Aiming at the problem that the model-based loss minimization control strategy (MLMCS) depends on the motor parameters, an improved model reference adaptive system(MRAS) is proposed to identify the core loss resistance, rotor magnetic-flux linkage, and the inductance step by step, which avoids the under-ranking problem when multi-parameters are identified online. The identified parameters are used in the online calculation of the optimal stator current, which can reduce the total electrical loss to achieve the purpose of energy saving. Finally, the validity of the parameter identification method designed in this paper and the energy-saving effect of the motor are verified by simulation experiments under different speed and torque conditions.

关键词： Parameter Identification model reference adaptive system Loss model Loss Minimization Algorithm

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Complex-Valued model reference adaptive systems for Speed Estimation of Induction Motor 1

Complex-Valued Model Reference Adaptive Systems for Speed Es...

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1st Global Power, Energy and Communication Conference (IEEE GPECOM)

作者： Zerdali, Emrah Menguc, Engin Cemal Nigde Omer Halisdemir Univ Elect & Elect Engn Dept Nigde Turkey

ISBN: (纸本)9781538680865

In this study, two novel complex-valued model reference adaptive systems (MRASs) based on rotor flux and stator current are performed for speed-sensorless control of squirrel cage induction motor (SCIM) and tested under different operating conditions for a wide speed range. Nowadays, the complex-valued methods have become popular and provided significant advantages in some important applications where the signal or system can be defined in the complex domain. The reasons why these MRAS types are selected are that these structures are suitable to be defined in the complex domain, do not require external flux estimator, and are two of the most popular MRAS types. Finally, satisfactory estimation performances for both novel complex-valued MRAS algorithms have been obtained under simulations.

关键词： Complex-valued least mean square Induction motor model reference adaptive system Speed-sensorless control

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Design of a Fuzzy Logic-based MPPT Controller for a PV system Employing Sensorless Control of MRAS-based PMSM

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND systemS 2020年第11期18卷 2788-2797页

作者： Anwer, Abbas Mahmood Oghor Omar, Fuad Alhaj Kulaksiz, Ahmet Afsin Konya Tech Univ Dept Elect & Elect Engn Fac Engn & Nat Sci Konya Turkey Selcuk Univ Dept Elect & Elect Engn Konya Turkey

The permanent magnet synchronous motors (PMSM) are widely employed in industrial, robotic, water pumping and HVAC applications due to their numerous benefits such as small size, high-energy efficiency, high performance, low inertia and the ability to operate in full load at low speeds. In case the PMSM drive system is supplied from photovoltaic (PV) modules, it can be a perfect match for water pumping or HVAC applications. In such a system, in order to extract full energy from PV modules, a maximum power point tracking (MPPT) algorithm must be employed. This article presents a PV system-fed PMSM drive system with sensorless speed control. The proposed system consists of two main parts. The first part deals with MPPT algorithm based on fuzzy logic controller and the second part deals with PMSM drive system with a sensorless speed estimator by using model reference adaptive system (MRAS) approach to eliminate the use of an encoder. The operation of PMSM is accomplished by using the vector control method to obtain a similar dynamic of the DC motor. The overall system is modelled in Matlab/Simulink environment and simulation results are collected under various operating conditions.

关键词： Fuzzy logic controller maximum power point tracking model reference adaptive system permanent magnet synchronous motor

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