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Second-order sliding mode-direct torque control and load torque estimation for sensorless model reference adaptive system-based induction machine

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF systemS AND CONTROL ENGINEERING 2021年第1期235卷 15-29页

作者： Ammar, Abdelkarim Univ Mhamed Bougara Boumerdes Inst Elect & Elect Engn Signals & Syst Lab LSS Independence Blvd Boumerdes 35000 Algeria Univ Mohammed Khider Biskra Elect Engn Lab Biskra LGEB Biskra Algeria

In this article, an improved sensorless direct flux and torque control is presented for high-performance induction motor drive. This algorithm integrates the super twisting control approach with direct torque control and model reference adaptive system. The super twisting algorithm is a second-order sliding mode approach that uses a continuous control law in order solves the problems of chattering and enhances control robustness against various uncertainties. Besides, a load torque observer design bed on super twisting-based design is presented to improve the speed regulation loop and to increase its rejection ability of load disturbances. Furthermore, the stator flux model reference adaptive system is used as a sensorless algorithm for rotor speed reconstruction. The association of dual estimators can increase the control system's reliability and reduce its cost. 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.

关键词： Induction motor direct torque control super twisting algorithm load torque estimation model reference adaptive system

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Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on model reference adaptive system

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IEEE ACCESS 2020年 8卷 22013-22024页

作者： Zhang, Wei Yang, Zexian Zhai, Liangguan Wang, Jiale Nantong Univ Sch Elect Engn Nantong 226019 Peoples R China

A novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits strong fault tolerance capability, high efficiency, and large torque density. However, merely few research on speed sensorless control in HEAFFSPMM exists. The speed sensorless control methods based on model reference adaptive system (MRAS) are studied and compared for the machine to improve the stability and reliability of the system and consequently improve the application of machine in control system. Based on the field-oriented control strategy, the MRAS observer of speed is designed and built by applying stator currents, stator flux linkages, and simplified stator currents. The three speed sensorless control algorithms of MRAS are compared and analyzed by using MATLAB/Simulink simulation and dSPACE1104 experimental platform. Results show that the speed sensorless control algorithm based on simplified stator currents has good control performance and high control accuracy.

关键词： Hybrid excitation axial field flux-switching permanent magnet machine simplified stator current model reference adaptive system speed sensorless control

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Direct Force Control of PMLSM Based on Fractional-order model reference adaptive system

Direct Force Control of PMLSM Based on Fractional-order Mode...

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第34届中国控制与决策会议

作者： Zixuan You Xiaoying Zhang Lingzhi Qian School of Electrical Engineering and Information Engineering Lanzhou University of Technology Key Laboratory of Gansu Advanced Control for Industrial Processes School of Electrical Engineering and Automation Tianjin University of Technology

Given the traditional integer-order model reference adaptive system(IOMRAS) with large speed estimation error,slow response speed and poor performance against external interference under the direct force control(DFC) of permanent magnet linear synchronous motor(PMLSM),a fractional-order model reference adaptive system(FOMRAS)algorithm is proposed,which adopts the concept of fractional calculus and fractional-order Lyapunov stability *** analysis and calculation,the fractional adaptive law is used to control the system in speed identification,which improves the speed tracking performance,reduces the oscillation of force response and ensures that the estimated value quickly approaches the real *** it is applied to DFC to realize speed sensorless *** simulation results show that the speed sensorless PMLSM-DFC based on FOMRAS has significantly enhanced anti-disturbance performance and good dynamic and static performance,thus ensuring the stability of the system.

关键词： Permanent magnet linear synchronous motor model reference adaptive system Speed sensorless control Fractional calculus Direct force control

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Sensorless control for PMSM using model reference adaptive system

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY systemS 2021年第2期31卷

作者： Abo-Khalil, Ahmed G. Eltamaly, Ali M. Alsaud, Mamdooh S. Sayed, Khairy Alghamdi, Ali S. Majmaah Univ Coll Engn Dept Elect Engn Almajmaah 11952 Saudi Arabia Assiut Univ Dept Elect Engn Coll Engn Assiut Egypt King Saud Univ Sustainable Energy Technol Ctr Riyadh Saudi Arabia Mansoura Univ Elect Engn Dept Mansoura Egypt K A CARE Energy Res & Innovat Ctr Riyadh Riyadh Saudi Arabia King Saud Univ Coll Engn Elect Engn Dept Riyadh Saudi Arabia Sohag Univ Coll Engn Elect Engn Dept Sohag Egypt

This paper presents a model reference adaptive system (MRAS) method to estimate the position and speed of permanent magnet synchronous motor (PMSM) by considering the error between real and estimated rotor position values. A state equation of PMSM in synchronous d-q reference frame is expressed based on the estimated speed and nominal parameter of the PMSM. The derived MRAS adaptation scheme to estimate the rotor position and speed of the main objective is to minimize the errors between the derivatives of d-q axis currents of the real and model systems. The proposed method has been tested for various speed and load torque conditions. The experimental results show good performance and accurate speed-tracking capability when it is compared with the sliding mode observer (SMO).

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

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model reference adaptive system based sensorless speed estimation of brushless doubly-fed reluctance generator for wind power application

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IET POWER ELECTRONICS 2018年第14期11卷 2355-2366页

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

Brushless doubly-fed reluctance generator (BDFRG) is drawing a growing attention of research over the traditional doubly-fed induction generator in variable speed application like wind power generation nowadays, due to its brushless structure. In this work, the applicability of different model reference adaptive system (MRAS) based sensorless speed estimation techniques for BDFRG in wind power application is explored. The MRAS estimators developed, in this context, are based on active power, reactive power and fictitious quantity. All these schemes are implemented under primary field orientation using machine secondary winding quantities as the functional variables. Matlab/Simulink study and hardware test results under variable wind speed (between cut-in and rated speed) are presented for the aforementioned speed estimation techniques. Furthermore, to ensure the robustness of the drive system, stability study using Popov's criteria for hyperstability and sensitivity analyses is presented.

关键词： model reference adaptive control systems reluctance generators wind power reactive power power generation control brushless machines induction motor drives machine vector control wind power plants angular velocity control asynchronous generators sensorless machine control Popov criterion machine windings active power reactive power variable wind speed drive system wind power application variable speed application wind power generation brushless structure sensorless speed estimation techniques MRAS estimators brushless doubly-fed reluctance generator doubly-fed induction generator model reference adaptive system BDFRG primary field orientation machine secondary winding quantities functional variables Matlab Simulink Popov's criteria hyperstability analysis sensitivity analysis

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

Sensorless Control of Permanent Magnet Synchronous Motor Bas...

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Chinese Automation Congress (CAC)

作者： Wei, Fan Wang, Yong Liang, Qiongwen Li, Zongyang Univ Sci & Technol China Dept Automat Hefei Peoples R China

ISBN: (纸本)9781728140940

In order to improve the accuracy of rotor position estimation and speed tracking in sensorless vector control system of permanent magnet synchronous motor(PMSM), an adaptive full-order observer is proposed based on model reference adaptive system(MRAS) method. This method combines the estimation equation and the calibration link to form the closedloop estimation by introducing the correction term. The sliding mode controller(SMC) is used to control the rotation speed loop instead of the traditional PI controller to improve the anti-disturbance ability of the system. The simulation results show that the improved model reference adaptive system method can better estimate the rotation speed and rotor position in the case of motor startup, sudden change of speed and sudden change of the load torque. The method has good stability and robustness.

关键词： Permanent Magnet Synchronous Motor Sensorless Control model reference adaptive system Sliding Mode Controller

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Sensorless Speed Control of High-Speed Permanent Magnet Synchronous Motor based on model reference adaptive system 38

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

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38th Chinese Control Conference (CCC)

作者： Tian, Limei He, Yanzhao Lu, Ming Wang, Yingguang Hu, Yuewei Beijing Inst Control Engn Beijing 100190 Peoples R China Beijing Sunwise Space Technol Ltd Beijing 100190 Peoples R China

ISBN: (纸本)9789881563972

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 system. The responses of HS-PMSM speed and current are studied during different conditions of speed reference and load torque variations. Meanwhile, robustness against the parameter perturbation of stator resistance, inductance and controller parameters are proven in this study. The control performance comparative studies between the introduced MRAS estimator and the actual motor model are evaluated in Matlab/Simulink software. The 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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Position Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent Magnet Machine Based on model reference adaptive system 22

Position Sensorless Control of Hybrid Excitation Axial Field...

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22nd International Conference on Electrical Machines and systems (ICEMS)

作者： Yang, Zexian Zhang, Wei Liang, Xingyan Wang, Jiale Zhai, Liangguan Zhu, Yufei Nantong Univ Sch Elect Engn Nantong Peoples R China Nantong Univ Sch Comp Sci & Technol Nantong Peoples R China

ISBN: (纸本)9781728133980

A novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) has the advantages of strong fault tolerance ability, high efficiency and large torque density. In order to carry out the operation of HEAFFSPMM without position sensor, an improved control method is proposed and studied in this paper, which is based on model reference adaptive system (MRAS) to detect position and speed. The related experiments are done to validate the control method. The results show that the proposed position sensorless control method has better performance and higher control precision under light and heavy load in contrast with the traditional MRAS method.

关键词： hybrid excitation axial field flux-switching position sensorless control model reference adaptive system

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Neural Network-Based model reference adaptive system for Torque Ripple Reduction in Sensorless Poly Phase Induction Motor Drive

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ENERGIES 2019年第5期12卷

作者： Usha, S. Subramani, C. Padmanaban, Sanjeevikumar SRM Inst Sci & Technol Dept Elect & Elect Engn Kattankulathur 603203 India Aalborg Univ Dept Energy Technol Ctr Bioenergy & Green Engn DK-6700 Esbjerg Denmark

This paper proposes the modified, extended Kalman filter, neural network-based model reference adaptive system and the modified observer technique to estimate the speed of a five-phase induction motor for sensorless drive. The proposed method is generated to achieve reduced speed deviation and reduced torque ripple efficiently. In inclusion, the result of speed performance and torque ripple under parameter variations were analysed and compared with the conventional direct synthesis method. The speed estimation of a five-phase motor in the four methods is analysed using MATLAB Simulink platform, and the optimum method is recognized using time domain analysis. It is observed that speed error is minimized by 60% and torque ripple is reduced by 75% in the proposed method. The hardware setup is carried out for the optimized method identified.

关键词： induction motor speed estimation model reference adaptive system kalman filter luenberger observer

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Power system stabilizer design based on optimal model reference adaptive system

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AIN SHAMS ENGINEERING JOURNAL 2018年第2期9卷 311-318页

作者： Hemmati, Reza Kermanshah Univ Technol Dept Elect Engn POB 63766-67178 Kermanshah Iran

This paper addresses an optimal model reference adaptive system (MRAS) to design power system stabilizer (PSS) in multi-machine electric power systems Weighting factors of the proposed MRAS are adjusted by particle swarm optimization (PSO) as well as its input signal is limited by a normalization technique to assure network stability. The proposed modified-optimal MRAS-PSS is evaluated against conventional PSS to demonstrate its advantages. In order to investigate the performance of the proposed MRAS-PSS under parametric uncertainties, three operating conditions are defined and simulated. Several nonlinear and time-domain simulations are carried out to validate the viability and effectiveness of the proposed MRAS-PSS under network uncertainties. (C) 2016 Ain Shams University Production and hosting by Elsevier B.V.

关键词： adaptive control model reference adaptive system Multi machine electric power system Particle swarm optimization Power system stabilizer Uncertainty

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