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Speed Identification of Speed Sensorless Linear Induction Motor Based on MRAS

CES Transactions on Electrical Machines and systems 2023年第3期7卷 294-300页

作者： Xuan Tu Xinguo Hou Jinghong Zhao Sinian Yan Yiyong Xiong Electrical Engineering Department Naval University of EngineeringWuhan430033 China

In the linear induction motor control system,the optical grating speed transducer is susceptible to strong magnetic field ***'s more,it may reduce motor integration and raise device *** a speed identification method to replace grating speed transducer is studied in this *** speed identification method for linear induction motor mainly adopts model reference adaptive Method(Abbreviated as MRAS)and Popov Hyperstability *** research content of this paper can be divided into four ***,the mathematical model of the motor based on the model reference adaptive system structure is ***,the adaptive law of the estimated speed is solved by Popov hyper-stability theory,which ensures the stability of the ***,the simulation model of the linear induction motor speed identification control system based on model reference adaptation is built in the MATLAB ***,the simulation test and analysis are carried *** simulation results show that the speed identification control system can track the actual speed of the linear induction motor well in the no-load operation and the load operation,and the stability of the system is guaranteed in the full speed range.

关键词： Linear induction motor model reference adaptive system Speed sensorless Popov hyperstability

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Improved twelve sectors DTC strategy of induction motor drive using Backstepping speed controller and P-MRAS stator resistance identification-design and validation

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ALEXANDRIA ENGINEERING JOURNAL 2023年 80卷 358-371页

作者： El Ouanjli, Najib Mahfoud, Said Al-Sumaiti, Ameena Saad El Daoudi, Soukaina Derouich, Aziz El Mahfoud, Mohammed Mossa, Mahmoud A. Hassan First Univ Lab Mech Comp Sci Elect & Telecommun Fac Sci & Technol Settat 26000 Morocco Sultan Moulay Slimane Univ Higher Sch Technol Polydisciplinary Lab Sci technol & Soc Khenifra 54000 Morocco Khalifa Univ Adv Power & Energy Ctr Dept Elect Engn & Comp Sci Abu Dhabi U Arab Emirates Cadi Ayyad Univ Fac Sci Semlalia Phys Dept Marrakech 40000 Morocco Sidi Mohamed Ben Abdellah Univ Higher Sch Technol LSTI Fes Morocco SidiMohamed Ben Abdellah Univ Fac Sci Dhar El Mahraz LIMAS Fes Morocco Minia Univ Fac Engn Elect Engn Dept Al Minya 61111 Egypt

The Direct Torque Control (DTC) was previously designed to achieve high performance of induction motor (IM) by accurately and independently controlling its flux and torque. However, this classical DTC generates several disadvantages such as strong fluctuations in the torque and stator flux as well as quite significant switching losses. For these reasons, many modern techniques have been proposed in the literature to improve it. On the other hand, as the inadequacy of the parameters seriously affects the efficiency and stability of the induction motor, it is paramount to accurately estimate the stator resistance, for this, robust observers are necessary suggested to be employed. This paper proposes developed structure of DTC strategy using twelve sectors combined with Backstepping speed regulator for the external loop and robust model reference adaptive system based on active power principle to estimate the stator resistance. In addition, several simulations under Matlab/ Simulink and experiment results using the dSPACE DS1104 board are discussed to confirm improvements in control and speed estimation.

关键词： Twelve sectors DTC Backstepping regulator dSPACE DS1104 model reference adaptive system

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Second-Order Nonlinear Disturbance Observer Based adaptive Disturbance Rejection Control for PMSM in Electric Vehicles

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2023年第3期18卷 1919-1930页

作者： Yang, Chengshun Hua, Tao Dai, Yuchen Huang, Xiaoning Zhang, Dongdong Nanjing Inst Technol Sch Elect Power Engn Nanjing 211167 Peoples R China Wuhan Univ Technol Sch Automat Wuhan 430070 Peoples R China

In this paper, a high-performance nonlinear control technique is presented to address the robust anti-disturbance speed tracking problem for permanent magnet synchronous motors (PMSM) in electric vehicles. In the first step, the dynamic model of PMSM is established, and the controller is designed based on backstepping control. Additionally, consider eliminating the differential noise of the virtual controller and approving the virtual control rate and its derivative through the command filter in order to avoid complicated high-order derivatives. Then, based on the PMSM model, an improved model reference adaptive system (MRAS) is proposed to account for unknown parameter perturbation. Besides, in order to improve the anti-interference capability of the system during operation, a second-order nonlinear disturbance observer model is developed, and the robustness of the system is improved by combining the model with linear sliding mode control. Finally, the stability of the system is established using Lyapunov stability criteria, and the hardware-in-the-loop platform is established to demonstrate that the controller in this paper has excellent anti-interference abilities and robustness.

关键词： Electric vehicle Permanent magnet synchronous motor Second-order disturbance observer model reference adaptive system Backstepping

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Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems

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MECHANICAL systemS AND SIGNAL PROCESSING 2023年 182卷

作者： Nelson, Matthew Barzegar, Vahid Laflamme, Simon Hu, Chao Downey, Austin R. J. Bakos, Jason D. Thelen, Adam Dodson, Jacob Iowa State Univ Dept Civil Construct & Environm Engn Ames IA 50011 USA Iowa State Univ Dept Mech Engn Ames IA USA Univ South Carolina Dept Mech Engn Columbia SC USA Univ South Carolina Dept Comp Sci & Engn Columbia SC USA US Air Force Res Lab Fuzes Branch Munit Directorate Eglin AFB FL USA

High-rate systems are defined as engineering systems that undergo accelerations of amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive airbag deploy-ment systems, hypersonic vehicles, and active blast mitigation systems. The use of feedback mechanisms in these high-rate applications is often critical in ensuring their continuous operations and safety. Of interest to this paper are algorithms needed to support high-rate structural health monitoring (HRSHM) to empower sub-millisecond decision systems. HRSHM is a complex task because high-rate systems are uniquely characterized by (1) large uncertainties in the external loads, (2) high levels of non-stationarities and heavy disturbances, and (3) unmodeled dynamics generated from changes in system configurations that necessitate careful crafting of adaptive strategies. This paper studies benefits of integrating a data-driven predictive model with a physics-based state observer to reduce latency and convergence time estimating actionable information. The predictive model, constructed with long short-term memory (LSTM) cells, performs multi-step ahead signal prediction acting as the input to the physical model, a model reference adaptive system (MRAS). The MRAS then performs state estimation of the predicted signal rather than the true signal. A comparison study was done between the proposed hybrid algorithm and a physics-based MRAS on a testbed involving a fast-moving boundary condition. Results showed that the hybrid algorithm could perform state estimations with zero timing deadline overshoot and with up to 50% faster convergence time when compared to the MRAS under constant boundary conditions. However, the hybrid generally underperformed the MRAS algorithm in terms of convergence accuracy during motion of the boundary condition by increasing convergence time by 20%, attributable to the lag in learning the new dynamics used in predicting. The performance of the NSE algorithm was a

关键词： High-rate state estimation Real-time Deadline overshoot Physics-informed deep learning Ensemble of LSTMs model reference adaptive system

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Five-Level Inverter Fed Sensorless PMSM Drive Using Modified MPTC with Novel Reduced Search Space Algorithm

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2023年第6期59卷 6826-6836页

作者： Kumar, Poondla Dharmendra Ramesh, Tejavathu Ramakrishna, Pothuraju Tangirala, Isradani Natl Inst Technol Andhra Pradesh Dept Elect Engn Tadepalligudam 534101 India

Multi-level inverters (MLI's) have gained vast interest in the field of drives to enhance the performance of the drive by minimizing the torque ripples. Developing the vector control algorithms for the MLI fed drives is one of the challenging tasks. In the era of vector control methods, the model predictive control has proven its standards in improving the performance of the drive over other methods, such as, field-oriented control, direct torque control, etc. Among the model predictive control methods, the modified model predictive torque control (MMPTC) method provides better torque and speed characteristics. However, the MMPTC method for multi-level inverter requires more computational time and it increases the burden on the controller. Therefore, a novel reduced search space algorithm is proposed based on the geometrical congruity between the two level and multi-level space vector diagrams to reduce the computational complexity of multi-level inverter switching. Further, dependency of speed sensor information in the controller makes the system vulnerable and speed sensorless drive make the system stronger. In this article, the five-level inverter fed MMPTC based sensorless PMSM drive with novel reduced search space algorithm is proposed and the performance characteristics of proposed method is compared with two-level and three-level inverters. The hardware prototype setup is developed in the laboratory and the simulation results are validated with the experimental results over a wide speed range.

关键词： model predictive control model reference adaptive system multi-level inverters permanent magnet synchronous motor search space speed sensorless

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Accurate MRAS Embedded Minimum Copper-Loss Based Controller for WRIG Coupled With Variable Speed Wind Turbine

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IEEE ACCESS 2023年 11卷 93393-93401页

作者： Parida, Adikanda Paul, Manish Chatterjee, Debashis North Eastern Reg Inst Sci & Technol Dept Elect Engn Nirjuli 791109 India Jadavpur Univ Dept Elect Engn Kolkata 700032 India

Sensorless control of the wound rotor induction generator (WRIG) using the model reference adaptive system (MRAS) technique is an attractive option in wind energy generation schemes. However, the accuracy of MRAS under variable wind speed situations is a major issue as the rotor current of the WRIG continuously changes. To address this issue, in this paper, a simple MRAS model has been developed considering the air-gap reactive power of the WRIG as the adaptable variable for the computation of the WRIG rotor position. The accuracy of the proposed model is comparatively high and almost insensitive to the machine parameter variation of the generator. The maximum rotor position estimation error is found to be 0.009 (rad.) for a 50% variation of the magnetizing inductance of the WRIG. Thus, the model is comparatively reliable. Also, the optimized efficiency operation of the WRIG is another major issue in terms of maintenance cost and life expectancy of the WRIG. Therefore, to address this issue, a minimum copper-loss-based control technique has been developed and presented in this paper for rotor side converter control (RSC) of the WRIG. It has been observed that the proposed control technique improves by 1% efficiency in comparison to similar types of other controllers. The proposed MRAS model has been embedded with the proposed RSC controller to improve the accuracy in control and the efficiency of the wind energy generation system. The proposed system is implemented with appropriate simulations and hardware using a wound rotor induction machine of 2.5kW, and a dSPACE CP1104 modulation device, which produces acceptable results.

关键词： model reference adaptive system optimum efficiency sensorless control wound rotor induction generator

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Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives Without Speed Measurement

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2023年第5期48卷 5991-6009页

作者： Aghili, Soroush Noori, Meisam Khoshdel, Adel Khan, Ashraf Ali Independent Sect Shiraz Iran Mem Univ Newfoundland Fac Engn & Appl Sci Dept Elect & Comp Engn St John NL Canada

In encoderless model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. In this research, single-phase current sensor Fault-Tolerant Control (FTC) method for MPTC of three-phase IM drives without speed measurement using a flux linkage observer and model reference adaptive system (MRAS) algorithm is proposed. In the presented FTC method, Third-Difference operators, logic circuit module, flux linkage observer, and MRAS algorithm are utilized for fault detection, fault isolation, estimation of stator currents and fluxes, and speed estimation, respectively. In comparison with the conventional current sensor FTC methods, the proposed method can be utilized for encoderless three-phase IM drives. In order to confirm the usefulness and possibility of the proposed encoderless FTC method, experimental studies are performed for a 0.75 kW three-phase IM drive system in different situations. The achieved results demonstrate good performances of the proposed technique during both normal and faulty situations.

关键词： Current sensor fault-tolerant control Encoderless control Flux linkage observer model reference adaptive system Three-phase induction motor

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Analysis and Implementation of Sensorless PMSM Drive with Reduced DC-Link Capacitance Under Parameter Variations 10

Analysis and Implementation of Sensorless PMSM Drive with Re...

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10th International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Sumsek, Reha Ozgur Calik, Ramazan Yavuz, Fikri Serkan Kivanc, Omer Cihan WAT Motor R&D Dept Power Elect Istanbul Turkiye Istanbul Okan Univ Dept Elect & Elect Engn Istanbul Turkiye

ISBN: (纸本)9798350373981;9798350373974

In AC drives used in heating, ventilation and air-conditioning applications, film capacitors are becoming widespread instead of electrolytic capacitors in DC-link. These drives with reduced capacitor value provide cost and volume advantages. However, dc-link oscillation increases due to the reduced capacity value. These oscillations cause instability, overvoltage and an increase in total harmonic distortion (THD). On the other hand, the winding temperatures of these motors, which operate continuously under rated operating conditions, reach 80 degrees C. The stator resistance and rotor flux value, which change with the increase in temperature, cause these drives, controlled without sensors, to operate even more unstable. In this study, a hybrid approach is proposed to improve the performance of the inverter using a 16 mu F film capacitor at the dc-link and to reduce the THD. The active damping method regulates the inverter output voltage for DC-link voltage stabilization. A permanent magnet synchronous machine (PMSM) sensorless speed control based on stator feedforward voltage estimation and a model reference adaptive system (MRAS) based on a multiparameter estimation algorithm is performed to minimize the effects of parameter variations. As a result of the experimental studies, it is observed that the grid input current complies with the IEC61000-3-2 standard, even under severe parameter variations.

关键词： Reduced dc-link capacitance dc-link voltage fluctuation active damping model reference adaptive system

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

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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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