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Application of fuzzy logic in sensorless induction motor drive with PWM-DTC

ELECTRICAL ENGINEERING 2020年第1期102卷 129-140页

作者： Vo, Hau Huu Kuchar, Martin Brandstetter, Pavel Ton Duc Thang Univ Fac Elect & Elect Engn 19 Nguyen Huu Tho StDist 7 Ho Chi Minh City Vietnam VSB Tech Univ Ostrava Dept Elect 17 Listopadu 15-2172 Ostrava 70833 Czech Republic

The paper deals with the application of fuzzy logic in the current-based model reference adaptive system (CB-MRAS) for sensorless induction motor drives using direct torque control with pulse-width modulation. The stability analysis of the selected observer is described in the first part. Fuzzy logic is used to adjust the parameters of proportional-integral (PI) adaption algorithm of the CB-MRAS observer. The description of a laboratory workplace with an induction motor drive and load system is presented in the third part. Comparisons of conventional PI and fuzzy logic-based adaptation algorithms are shown in the paper. The theoretical assumptions of the sensorless induction motor drive are confirmed by the simulation and experimental results.

关键词： Fuzzy logic Sensorless control model reference adaptive system Direct torque control Pulse-width modulator Induction motor

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Displacement sensorless control for bearingless induction motor drives based on the MRAS method

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INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS 2020年第4期62卷 787-805页

作者： Li, Ke Ling, Feng Sun, Xiaodong Cai, Yingfeng Zhao, Dean Yang, Zebin Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Jiangsu Peoples R China

The traditional displacement sensors used in the bearingless induction motors (BIM) have many disadvantages, such as high cost, poor temperature stability, low conversion efficiency and complex motor operation. To improve these disadvantages, the detailed study on the novel displacement sensorless control based on the model reference adaptive system (MRAS) is presented in this paper. Firstly, the principle of radial suspension force generation and the mathematical model of the BIM are introduced. Secondly, the basic structure of the proposed MRAS is constructed and the stability is verified by the Popov's integral inequality. Thirdly, to improve the control accuracy and dynamic characteristics of sensorless vector control system, a method of directly controlling rotor eccentric displacement by using suspension force compensation is proposed. Finally, the feasibility and accuracy of the proposed method have been verified by the simulation and experimental results. According to the results obtained, the radial displacement of the rotor can be accurately estimated, and the rotor displacement sensorless control of the BIM based on MRAS is achieved.

关键词： Bearingless induction motor model reference adaptive system rotor displacement sensorless control direct suspension force control

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Feedback linearization based sensorless direct torque control using stator flux MRAS-sliding mode observer for induction motor drive

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ISA TRANSACTIONS 2020年 98卷 382-392页

作者： Ammar, Abdelkarim Kheldoun, Aissa Metidji, Brahim Ameid, Tarek Azzoug, Younes Univ Mhamed BOUGARA Boumerdes Inst Elect & Elect Engn Signals & Syst Lab LSS Boumerdes Algeria Univ Mohamed KHIDER Biskra Elect Engn Dept Elect Engn Lab Biskra LGEB Biskra Algeria Univ Artois Fac Appl Sci EA 4025 LSEE F-62400 Bethune France

The high-performance Direct Torque Control (DTC) requires accurate knowledge of flux and speed information. Furthermore, the elimination of sensors leads to reduced overall cost and size of the electric drive system and subsequently improving its reliability. This paper proposes an effective sensorless direct torque control scheme for induction motor drive. The proposed scheme consists of enhancing the decoupling structure and variable estimation as well. Therefore, an enhanced direct flux and torque control based on feedback linearization is implemented in one hand. This allows obtaining a linear decoupled control together with minimized flux and torque ripples. In another hand, a combined sliding mode observer and model reference adaptive system is associated with the control scheme as sensorless algorithms for rotor speed and flux estimation. This conjunction is intended to enhance the sliding mode observer performances especially at low speed operations and reduce its sensitivity to noise and system uncertainties as well. The effectiveness of the proposed control algorithm has been verified through simulation and experimental work using MATLAB/Simulink software and dSpace 1104 implementation board respectively. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Induction motor Direct torque control Feedback linearization Sliding mode observer model reference adaptive system Sensorless control

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Development of energy efficient scheme for speed sensorless induction motor drive

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY systemS 2020年第8期30卷

作者： Pal, Abhisek Das, Sukanta Indian Sch Mines Indian Inst Technol Dept Elect Engn Dhanbad 826004 Bihar India

The present paper validates the working of a new model reference adaptive system (MRAS) based sensorless speed control strategy for induction motor (IM) drive in general, using a Golden section (GS) based energy optimization method for low and medium speed range operation. The MRAS is formed using instantaneous and steady-state values of a fictitious resistive quantity (R) that does not carry any physical significance. The said formulation is free from flux computation and independent on stator/rotor resistance variation. Moreover, the sensorless formulation does not involve any integration/differentiation operator. This makes the scheme immune to the drift, saturation and noise related problems enabling accurate estimation of speed even at zero and low-speeds. This sensorless scheme is further unified with an elementary energy optimization strategy. The overall scheme is observed to work even more efficiently at low load torque without hindering the speed response. Moreover, the performance of the proposed scheme is compared with Q-MRAS estimator. All the relevant studies, in this context, are done in Matlab/Simulink. The overall scheme has also been verified experimentally using a 3 HP IM drive setup.

关键词： AC motor drives efficiency induction motor loss model reference adaptive system optimization

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Rotor radial displacement sensorless control of bearingless permanent magnet synchronous motor based on MRAS and suspension force compensation

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ISA TRANSACTIONS 2020年 103卷 306-318页

作者： Hua, Yizhou Zhu, Huangqiu Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Jiangsu Peoples R China

Limitations exist on the displacement sensors employed in a bearingless permanent magnet synchronous motor (BPMSM). They lead to the increase in cost, size and complexity of the motor. Apart from that, the measurement errors are sensitive to the temperature and the electromagnetic noise. In order to resolve these problems, a novel rotor radial displacement sensorless control method of the BPMSM is proposed. In this paper, the operation principle and mathematical model of the BPMSM are introduced firstly. Secondly, the rotor radial displacement self-sensing method using the model reference adaptive system is designed. Thirdly, a direct control strategy of rotor eccentric displacement with suspension force compensation is proposed to promote the property of the displacement sensorless control system. Finally, a torque control subsystem based on the i(d) = 0 control scheme and a displacement control subsystem based on the proposed displacement self-sensing method and the suspension force control method are constructed. The related simulations and experiments are carried out. According to the research results, the rotor radial displacements of the BPMSM are effectively estimated and the stable suspension of the BPMSM rotor without displacement sensors is achieved. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Bearingless permanent magnet synchronous motor model reference adaptive system Rotor radial displacement sensorless control Suspension force compensation

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Induction motor fault detection based on multi-sensory control and wavelet analysis

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IET ELECTRIC POWER APPLICATIONS 2020年第11期14卷 2051-2061页

作者： Abubakar, Ukashatu Mekhilef, Saad Gaeid, Khalaf S. Mokhlis, Hazlie Al Mashhadany, Yousif I. Univ Malaya Dept Elect Engn Power Elect & Renewable Energy Res Lab PEARL Kuala Lumpur 50603 Malaysia Univ Malaya Dept Elect Engn Kuala Lumpur 50603 Malaysia King Abdulaziz Univ Ctr Res Excellence Renewable Energy & Power Syst Jeddah 21589 Saudi Arabia Swinburne Univ Sch Software & Elect Engn Hawthorn Vic Australia Tikrit Univ Dept Elect Engn Tikrit City Iraq Univ Anbar Dept Elect Engn Ramadi City Iraq

Detection and fault-tolerant control (FTC) of faults in the early stage is desirable in improving efficiency. An implementation strategy is proposed for the individual controllers that work collectively in induction motor (IM) drive by interswitching from one form of a control strategy to another. The interswitching occurs between voltage by frequency (V/f) open-loop control, closed-loop (V/f) control, sensorless vector control and sensor vector control. Optimal performance capabilities are attained with vector control, whereas V/f is a setup that is affordable but with increased speed. In this study, the faults are open and short circuits winding faults, speed sensor failures and stator winding faults. When the severity of the fault is high, an embedded protection entity interrupts the motor. Daubechies 10 wavelet is used due to its significant vanishing moments compared to the other types of Daubechies as fault index with the stator current of 1 kW IM. A novel enhanced model reference adaptive system is employed for sensorless vector control to assess the motor speed. Both the simulation and experiment (using the F28335 DSP controller) indicate that the framework is effective in detecting the fault, ensuring the robustness of the FTC scheme and proving the effectiveness of the proposed algorithm.

关键词： induction motor drives wavelet transforms fault diagnosis stators sensorless machine control model reference adaptive control systems closed loop systems machine vector control control system synthesis electric current control open loop systems fault tolerant control sensor fusion angular velocity control frequency control power 1 0 kW frequency open-loop control sensorless vector control sensor vector control speed sensor failures stator winding faults Daubechies 10 wavelet fault index motor speed F28335 DSP controller FTC scheme induction motor fault detection multisensory control wavelet analysis machine faults induction motor drive interswitching safety-critical applications fault-tolerant control fault detection closed-loop control open circuit winding faults short circuits winding faults correlation coefficient Daubechies as fault index stator current model reference adaptive system

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Magnetizing current based improved rotor position and speed estimation of doubly-fed induction generator using model reference adaptive scheme

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MEASUREMENT 2021年 173卷

作者： Gayen, P. K. Kalyani Govt Engn Coll Elect Engn Dept Kalyani 741235 Nadia India

An improved rotor position and speed estimation technique for doubly-fed induction generator (DFIG) has been described in this paper. DFIG is widely used as electrical generator in wind energy conversion system. For this wind generator, rotor position and speed information is extremely necessary for implementation of position/speed sensor-less control logics for attaining high dynamic performance. In this respect, magnetization current based rotor position and speed estimation technique is proposed. The estimation scheme adopts model reference adaptive system (MRAS). Various highly desirable features such as integrator- and differentiator-less operation, flux computation-less logic, least machine's parameter sensitivity, start on fly and capability of operation on both sub- and super-synchronous modes have been achieved in proposed scheme. The improvement in proposed estimation model can be stated that it is free from magnetizing parameter mismatch irrespective of power level. On the other hand, existing excitation current based scheme does not provide accurate estimation due to deviation of magnetizing inductance in low output power condition i.e. limited operating range. Also, another traditional excitation current based technique includes direct flux estimation (subjected to flux dynamics directly) in addition to magnetizing parameter dependency. Both simulation and real-time validation of proposed estimation concept have been done to present superiority over traditional schemes.

关键词： Rotor position and speed estimation Magnetizing current Doubly fed induction generator model reference adaptive system Machine's parameter sensitivity Wide power range

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Self-Tuning Observer for Sensor Fault-Tolerant Control of Induction Motor Drive

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ENERGIES 2021年第9期14卷

作者： Kuchar, Martin Palacky, Petr Simonik, Petr Strossa, Jan VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Elect Ostrava 70800 Czech Republic

This paper introduces a new solution for the speed and current sensor fault-tolerant direct field-oriented control of induction motor drives. Two self-adjusting observers derived from a modified current-based model reference adaptive system (CB-MRAS) are presented. Finally, the recursive least squares method was used to estimate the parameters of the used observers. The method, in the proposed solution, provides a very fast and accurate finding of the observer parameters while maintaining relative simplicity and ease of implementation. The presented algorithm eliminates the CB-MRAS observer dependence on the induction motor parameters and also compensates for the inaccuracies in the evaluation of the stator voltage vector. The proposed fault-tolerant control offers the drive operation while either a speed sensor or one/two current sensors fault occurs. The drive still works with the direct field-oriented control even when no current sensors are healthy. The proposed scheme was simulated in the MATLAB/Simulink software environment. Then the algorithm was implemented in a floating-point digital signal controller (DSC) TMS320F28335 and tested on an induction motor drive prototype of rated power of 2.2 kW to validate the proposed schemes.

关键词： current and speed estimation fault-tolerant control induction motor drive model reference adaptive system vector control

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The Magnet Operating Point Estimation using Motor Parameter Estimation and Magnetic Equivalent Circuit in PMSM 9

The Magnet Operating Point Estimation using Motor Parameter ...

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IEEE 9th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)

作者： Jang, Minho Akatsu, Kan Shibaura Inst Technol Elect Engn & Comp Sci Tokyo Japan Yokohama Natl Univ Elect Engn & Comp Sci Yokohama Kanagawa Japan

ISBN: (纸本)9781728153018

This paper proposes a method of estimating motor parameters in permanent magnet synchronous motor and estimating the magnet operating point using magnetic equivalent circuit. The first step of the proposed method is that the electrical parameters of the motor can be estimated independently using the modified model reference adaptive system with additional current sampling points. The second is to estimate the flux leakage of stator and the residual magnetic flux density of the magnet corresponding to the components of the magnetic equivalent circuit, using estimated inductances and flux linkage. This results in the compensated magnetic permeance and magnetomotive force being reflected in the magnetic equivalent circuit, and the magnetic flux density of magnet can be estimated more accurately. Finally, using the estimated residual magnetic flux density, the magnet temperature can be estimated by the temperature coefficient equation. The simulation and experimental verification have been provided to demonstrate the effectiveness of the proposed method. The proposed method is relatively simple and can identify the operating point of the permanent magnet in real time. Therefore, it is expected that this study will help in terms of the protective logic design for permanent magnet and an improvement of efficiency in PMSM.

关键词： magnet operating point magnetic flux density magnet temperature model reference adaptive system magnetic equivalent circuit

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High Performance Speed Sensorless Finite-Set Predictive Thrust Control of a Linear Induction Motor based on MRAS and Fuzzy Logic Controller 9

High Performance Speed Sensorless Finite-Set Predictive Thru...

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IEEE 9th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)

作者： Elmorshedy, Mahmoud F. Xu, Wei Ali, Mossad M. Liu, Yi Allam, Said M. Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan Peoples R China Tanta Univ Dept Elect Power & Machines Engn Fac Engn Tanta Egypt

ISBN: (纸本)9781728153018

An improved finite-set predictive thrust control (FSPTC) is proposed in this paper, in which the fuzzy logic control (FLC) is applied instead of PI control in both speed control loop and adaptation mechanism of the model reference adaptive system (MRAS) with a lower number of membership functions to reduce the computation time. The MRAS observer based on primary flux linkage is implemented to estimate the linear speed. The output of the FLC serves as the reference thrust of the FSPTC while as speed in the MRAS observer. The developed control targets are to improve the characteristics of the drive system, where a significant ripple reduction in thrust and primary flux linkage, fast dynamic response, and lower cost can be guaranteed. Comprehensive simulation results have demonstrated the effectiveness of the proposed method based on one arc induction machine with 3kW rated power.

关键词： Finite-set predictive thrust control model reference adaptive system linear induction motor fuzzy logic control

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