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MRAS-based current estimator for DC-DC converters considering time-variant load impedance

JOURNAL OF POWER ELECTRONICS 2022年第2期22卷 210-221页

作者： Singh, Shubham Kumar Matwankar, Chetan S. Jee, Manan Alam, Aftab Birla Inst Technol Dept Elect & Elect Engn Ranchi JH India RTC Inst Technol Dept Elect & Elect Engn Ranchi JH India

The integration of the multiple renewable energy sources (RESs) into a common grid requires a DC bus to be connected with the AC bus of the utility grid using an interlinking converter between the two buses. The DC bus is formed by multiple DC-DC converters fed by RESs. To maintain a fixed DC bus voltage, all of the converters are controlled in a closed loop. The number of DC-DC converters along with the number of corresponding voltage and current sensors becomes staggeringly high for a large number of distributed energy resources (DERs) based systems. Therefore, this paper embarks on state estimation-based closed-loop control of DC-DC converters to significantly reduce the number of sensors. Here, the state variable of the DC current is estimated using a model reference adaptive system (MRAS) for eliminating the current sensors from the hardware design. This estimated state, along with the measured state (capacitor voltage), is used in the state feedback-based closed-loop control of the DC-DC converter. A hardware prototype of a solar photovoltaic (SPV) fed 5 kW boost converter was built and controlled using the proposed current estimator. The experimental results establish the accuracy of the performance parameters of the proposed current estimator.

关键词： Renewable energy sources Distributed energy resources model reference adaptive system State estimation Boost converter Hybrid micro-grid

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Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive

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IEEE ACCESS 2022年 10卷 40872-40887页

作者： Savarapu, Sridhar Qutubuddin, Md. Narri, Yadaiah JNTUA Coll Engn Ananthapur Dept Elect & Elect Engn Anantapur 515002 Andhra Prades India TKR Coll Engn & Technol Dept Elect & Elect Engn Hyderabad 500097 Telangana India JNTUH Coll Engn Dept Elect & Elect Engn Hyderabad 500085 Telangana India

This paper presents the Modified Brain Emotional Controller (MBEC) technique for the minimization of torque and flux ripples of sensorless Induction Motor (WI) drive. In low-speed operation, IM is very sensitive due to variations in torque and flux ripples. These variations inert low order harmonics in stator currents that adversely affect the performance of the IM drive. The drive's performance can be improved by integrating a controller that not only minimizes harmonic presence but also increases the drive's performance. In this paper a biological inspired intelligent speed controller namely, MBEC is proposed to obtain improved performance from the drive. The input to the MBEC is an error of the reference speed and the actual speed of the motor that is estimated using the model reference adaptive system (MRAS). SVM based topology is used to develop the inverter and IM is operated in sensorless DTC technique. Stability analysis of MBEC based IM drive is presented in this paper to hold the effectiveness. The proposed control configuration is tested with different operating conditions and obtained results are verified through real-time experimentation using Opal-RT OP5600. The performance of the proposed control algorithm is compared with the BEC and PI techniques to hold the effectiveness in terms of low flux ripples and torque ripples in different operating conditions.

关键词： Modified brain emotional controller model reference adaptive system sensorless IM drive direct torque control space vector modulation

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Sensorless torque and flux control of induction motor fed by photovoltaic system

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MEASUREMENT & CONTROL 2022年第5-6期55卷 454-462页

作者： Kraiem, Habib Northern Border Univ Dept Elect Engn Coll Engn Ar Ar 73222 Saudi Arabia

This paper presents a new direct torque and flux control method for induction motor fed from Photovoltaic (PV) system. The proposed strategy is based on Stator Field Orientation with deadbeat torque and flux control. The deedbeat control approach is based on establishing the voltage vector necessary to supply the motor and reach the electromagnetic torque and flux references at the end of a sampling period T. In order to create the voltage shape and frequency to control the induction motor, the inverter is supplied by a DC voltage extracted from a PV system. model reference adaptive system and Luenberger Observer are designed to determine the stator flux and rotor speed. Extensive simulation work was carried out, which demonstrated that the proposed strategy is capable of reducing the torque and flux ripples and maintaining a constant switching frequency.

关键词： Induction motor photovoltaic system direct torque control deadbeat field orientation Luenberger observer model reference adaptive system

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Stator resistance and speed estimation for five level inverter fed DTFC-SVM of speed sensorless PMSM drive

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ELECTRICAL ENGINEERING 2022年第6期104卷 4415-4432页

作者： Pothuraju, Ramakrishna Tejavathu, Ramesh Poondla, Dharmendra Kumar NIT Andhra Pradesh Dept Elect Engn Tadepalligudem India

In this paper, direct torque and flux control strategy with space vector modulation for five-level inverter fed permanent magnet synchronous motor (PMSM) drive is proposed with speed and stator resistance estimation. The speed sensorless operation has gained more attention in PMSM drives as the speed feedback is must for control operation. Among the popular speed estimation methods, model reference adaptive system (MRAS)-based speed estimator is simple and helps to eliminate the use of speed sensor and also provides better speed estimation. However, the MRAS-based speed estimation method is dependent on stator resistance parameter and impacts the speed estimation and causes more error at low speeds. In order to enhance the performance of the drive, the stator resistance also estimated using MRAS-based stator resistance along with speed estimation. The ripple content in the torque makes the drive noisy, less efficient, causes vibrations and heat losses. The multi-level inverters are used to minimize torque ripple contents. Further, the stability analysis of the proposed method under different operating condition with pole-zero approach is also presented. The proposed model is simulated in MATLAB/SIMULINK software under different operating conditions such as no-load, load, reversal speed, and change in speed. In order to show the effectiveness of the proposed model, it is also validated by developing the hardware prototype and results are presented for various conditions.

关键词： Direct torque and flux control model reference adaptive system Permanent magnet synchronous motor drive Speed sensorless Space vector modulation

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Multilevel Inverter fed Direct Torque and Flux Control-Space Vector Modulation of Speed Sensorless Permanent Magnet Synchronous Motor drive with Improved Steady State and Dynamic Characteristics

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INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 2022年第4期50卷 1279-1296页

作者： Pothuraju, Ramakrishna Tejavthu, Ramesh Panda, Anup Kumar NIT Andhra Pradesh Dept Elect Engn West Godavari India NIT Rourkela Dept Elect Engn Rourkela India

In this paper, multilevel inverter (MLI) fed direct torque and flux control with space vector modulation (DTFC-SVM) of speed sensorless permanent-magnet synchronous motor (PMSM) drive is proposed to improve the steady-state and dynamic performance characteristics with less torque and flux ripples. In the DTFC-SVM technique, the speed of PMSM drive is regulated by controlling stator flux and electromagnetic torque directly and independently. The MLIs further extend the performance characteristics of motor drive with reduced electromagnetic torque ripple and improved dynamics. Further, the robustness and reliability of drive system is improved by implementing the speed estimation control technique to eliminate the speed sensor usage. The model reference adaptive system (MRAS)-based speed estimator is used to estimate the PMSM speed. The proposed method is simulated in MATLAB/SIMULINK environment using two-level, three-level, and five-level inverter under different operating conditions, respectively. The proposed method with five-level inverter gives very less ripples in electromagnetic torque and stator flux which consequences excellent steady-state and dynamic performance of drive. The effectiveness and feasibility of the proposed method is validated by implementing hardware prototype and comparing simulation results with the experimental results.

关键词： direct torque and flux control model reference adaptive system permanent magnet synchronous motor space vector modulation speed sensorless

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Investigation and Correction on Transformation Angle deviation of Brushless Doubly-fed Stand-alone Generation system 5

Investigation and Correction on Transformation Angle deviati...

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Chen, Zirui Su, Jingyuan Tu, Jinwei Ma, Ji Du, Xiong Chongqing University School of Electrical Engineering Chongqing China Chongqing Midea General Refrigeration Equipment Co. Ltd Chongqing China

ISBN: (纸本)9798350339673

Vector control researches of brushless doubly-fed induction generator (BDFIG) highly depend on the unified-reference-frame dq model, which requires that the coordinate transformation angles and the initial rotor position angle meet the specific relation, otherwise the practical closed-loop control performances will be influenced. To meet the requirement directly, this paper first illustrated the influence of transformation angle deviation on the critical inner-loop control, and then proposed the model-reference-adaptive (MRA) transformation angle correction method for BDFIG stand-alone generation system. Based on the commonly used dual-loop controller under control-winding current orientation, the steady-state adjustable model of control-winding voltage was constructed, and then the transformation angle correction was realized based on adaptive adjustment. The simulation results verified the influence analysis, and the experimental results verified the effectiveness of the proposed angle correction method. © 2023 IEEE.

关键词： Brushless Doubly-fed Induction Generator model reference adaptive system Standalone Generation Transformation Angle Correction

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Fast Open-Switch Fault Diagnosis Based on model reference adaptive Theory Applied to Inverter 12

Fast Open-Switch Fault Diagnosis Based on Model Reference Ad...

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12th International Conference on Power and Energy systems (ICPES)

作者： Yin, Haoran Chen, Qing Guo, Xing Qiu, Xinyuan Duan, Xuxing Zhao, Xiangji Nucl Power Inst China Reactor Engn Res Subinst Chengdu Peoples R China

ISBN: (纸本)9781665451451

This paper designs an algorithm for fast fault diagnosis for inverters, which utilizes the theoretical idea of model reference adaptive systems. Firstly, the inverter system model is established, and the estimation of rotor angle is obtained according to the model reference adaptive theory. Then, the estimation and the actual angle are used to obtain the residual error as a fault diagnosis variable, which is beneficial to improve the rapidity of the algorithm. In addition, in order to increase the accuracy of fault location, three-phase normalized currents are combined to complete location of specific fault switch tubes. The proposed algorithm does not need to add additional hardware facilities, and is real-time, fast, and simple. Results are shown to validate the proposed algorithm.

关键词： inverter fault diagnosis open-switch fault model reference adaptive system

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Position Sensorless Composite Control of Hybrid Excitation Axial Field Flux-Switching Permanent Magnet Machine 4

Position Sensorless Composite Control of Hybrid Excitation A...

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4th International Conference on Smart Power and Internet Energy systems (SPIES)

作者： Jin, Huayang Zhang, Wei Wang, Jiale Nantong Univ Sch Elect Engn Nantong Jiangsu Peoples R China

ISBN: (纸本)9781665489577

A composite control method is proposed in order to carry out the stable and reliable operation of hybrid excitation axial field flux-switching permanent magnet machine(HEAFFSPMM) position sensorless control system in the full-speed range. In the middle- and high-speed ranges, the improved model reference adaptive system with parameter identification can effectively improve the estimation accuracy of the rotor position and the dynamic and steady state performance of the control system. In the zero- and low-speed ranges, the improved pulse high frequency voltage injection combining quasi-proportional resonance and second-order generalized integrator is applied to achieve fast starting and reliable operation of the motor. In addition, the weighted average composite control is used in the transition range to achieve smooth switching between the two speed ranges of HEAFFSPMM. Finally, the experimental verification is completed. The experimental results show that the position sensorless composite control can realize the full-speed operation of the motor, and can effectively improve the control accuracy and performances of the control system.

关键词： hybrid excitation axial field flux-switching permanent magnet machine(HEAFFSPMM) model reference adaptive system pulse high frequency voltage injection composite control

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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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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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