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INTEGRAL SLIDING MODE model reference adaptive OBSERVER FOR PMSM WITH CONSIDERATION OF CHATTERING PHENOMENA

MECHATRONIC systemS AND CONTROL 2025年第1期53卷 1-8页

作者： Tang, Jing-Wei Zhang, De-Fu Yang, Si-Si Hunan Coll Informat Changsha 410200 Peoples R China Heilongjiang Jianghang Elect Power Technol Co Ltd Harbin 150010 Peoples R China Hunan Polytech Water Resources & Elect Power Changsha 410131 Peoples R China

With the aim of enhancing the accuracy of sensorless control system for permanent magnet synchronous motor (PMSM), this paper is on the grounds of integral fast super-twisting sliding mode variable structure model reference adaptive system observer (IFSTSM-MRASO). Firstly, that integral sliding mode surface is devised for the sake of guaranteeing the finite time convergence of the system error, and it is adopted with the intention of reducing the steady-state error of the system. Secondly, by designing a fast super- twisting algorithm with linear correction terms and combining it with the model reference adaptive system, the purpose of weakening the aforementioned chattering issue and improving the system accuracy are achieved. Ultimately, the efficiency of the presented tactic is demonstrated through comparing the consequences of simulation.

关键词： PMSM chattering sensorless control model reference adaptive system

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Research on model reference adaptive Sliding Mode Control Strategy for Permanent Magnet Synchronous Wind Generator

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2025年第4期E108A卷 630-633页

作者： Zhang, Lei Guo, Xi-Lin Han, Guang Zeng, Di-Hui Beihua Univ Jilin 132013 Peoples R China China Tobacco Sichuan Ind Co Ltd Chengdu Cigarette Factory Chengdu 610066 Peoples R China State Grid Sichuan Elect Power Co Ultra High Voltage Branch Chengdu 615099 Peoples R China Chinese Acad Sci Inst Elect Engn Key Lab Power Elect & Elect Drive Beijing 100190 Peoples R China

This research proposes a sliding mode variable structure model reference adaptive system based on the modified super-twisting algorithm (MST-SM-MRAS) to estimate the position and speed of the generator in a permanent magnet synchronous wind power system. Firstly, the reference model and the adjustable model are designed according to the mathematical model of PMSG;secondly, the MST-SMC is constructed according to the output error between the two models, which makes the output error converge in finite time and improves the system's anti-disturbance capability. A smooth sigmoid function is used instead of the sign function to suppress the sliding mode chattering and improve the control accuracy of the system. The proposed strategy's effectiveness is verified through simulation.

关键词： PMSG chattering sensorless model reference adaptive system

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A robust sensor-less field-oriented control of six-phase induction motor drive with reduced common mode voltage

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INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 2024年第3期53卷 1354-1371页

作者： Shah, Krunal Maurya, Rakesh Sardar Vallabhbhai Natl Inst Technol Dept Elect Engn Surat 395007 India

This article narrates a robust sensor-less indirect rotor field-oriented control (IRFOC) of a six-phase asymmetrical induction motor (SPAIM) drive with an online estimation of parameters and reduction of common mode voltage (CMV). In comparison to the conventional IRFOC technique, the proposed IRFOC provides the least CMV using modified space vector modulation (SVM). To guarantee proper operation of IRFOC, accurate estimation of rotor time constant is mandatory;any mismatch in the actual and tuned value may lead to poor performance of the IRFOC algorithm. This problem will be further accelerated with encoder-less control using model-based estimators. In this manuscript, the problem of simultaneous estimation of speed and machine parameters is investigated, and a model reference adaptive system (MRAS) based speed estimator accompanied by online estimation of parameters is proposed to improve sturdiness against variation of parameters. A Simulink model of the proposed method is developed and a simulation study is carried out. To validate the simulation results, a scaled prototype model of The SPAIM rated for 2 HP, 200 V is developed and encoder-less IRFOC for the SPAIM drives is implemented using an STM32F407VG controller board. The performance of the proposed observers is tested and verified for all the possible operating conditions and results are presented. This article describes the robust encoder-less field-oriented control (FOC) of a six-phase asymmetrical induction motor (SPAIM) drive with reduced common mode voltage. The sensor-less control of the SPAIM drive is achieved using rotor flux-based MRAS (RF-MRAS). The operation of FOC and RF-MRAS is affected by the variations in the parameters of the induction motor drive such as the time constant of the rotor and stator resistance. Therefore, the online estimation of rotor time constant and stator resistance is also included to improve the robustness of the drive system. Further, a reduction in the common mode vol

关键词： common mode voltage estimation of parameters field-oriented control model reference adaptive system sensor-less control SPAIM drive

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Speed Sensorless Control of a Bearingless Induction Motor Based on Modified Robust Kalman Filter

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2024年第3期19卷 1179-1190页

作者： Bian, Yifan Yang, Zebin Sun, Xiaodong Wang, Xiang Jiangsu Univ Sch Elect Informat Engn Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Univ Res Inst Automot Engn Zhenjiang 212013 Jiangsu Peoples R China

To enhance the speed identification accuracy in speed sensorless control of a bearingless induction motor (BIM), a speed sensorless control strategy based on modified robust Kalman filter is proposed. Firstly, the suboptimal principle of the H infinity control method is introduced into the extended Kalman filter to construct the robust Kalman filter. Secondly, the rotor flux linkage of the BIM in the alpha-beta coordinate system is discretized, which is used as a reference model and adjustable model in the model reference adaptive system. At the same time, the modified robust Kalman filter is obtained by combining the robust Kalman filter with the model reference adaptive system. Finally, the simulation and experimental results show that the proposed BIM speed sensorless control system based on modified robust Kalman filter has higher accuracy of speed identification than the extended Kalman filter control under different operation conditions of no-load, sudden load, speed change, and motor parameter mismatch. The motor also has a good suspension performance.

关键词： A bearingless induction motor (BIM) Robust Kalman filter model reference adaptive system Speed sensorless control

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Energy-Efficient Sensorless PMSM Pump Drive with mGWO and Loss model for Field Orientation Control Strategy

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IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING 2024年第1期48卷 1-16页

作者： Kalel, Dattatraya Raja Singh, R. Vellore Inst Technol VIT Dept Energy & Power Elect Vellore India

An adjustable pump speed drive is commonly employed to control the speed of the pump motor, achieve the appropriate flow rate, and maintain the fluid level. The electrical motor, power electronics converter, and control are the main elements of the pump motor drive (PMD). In terms of energy efficiency and reliability, pump drives with permanent magnet synchronous motors (PMSMs) and sensorless control have more alluring qualities. To increase the efficiency of PMSM-PMD, the optimum controls including loss minimization and modified grey wolf optimizer (mGWO) are employed. The model reference adaptive system (MRAS) control is often employed for sensorless PMSM-PMD owing to its simplicity, reliability, and good response. The PMSM core loss equivalent parameters are precisely analyzed in this article. Also, the loss model that considers core loss is used to calculate the link between power loss and reference d-axis stator current (I-ds). Further, for enhancing the efficiency, an optimal I-ds* value is injected in field orientation control (FOC). This proposed scheme increases the efficiency of the PMSM pump drive by up to 1.5 percent as compared to the conventional FOC strategy. A 2.2-kW PMSM drive is tested with the proposed control strategy using real-time interfacing controller dSPACE 1202 MicroLabBox. Also, the obtained results are validated in Matlab/Simulink environment.

关键词： Field orientation control Loss minimization controller model reference adaptive system Centrifugal pump Permanent magnet synchronous motor

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Speed estimation of the spindle motor of the grinding head for a high-speed precision roll grinder based on the extended Kalman filter

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AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING 2024年第5期22卷 882-893页

作者： Wu, Huaichao Cao, Gang Zhao, Limei Yin, Song Guizhou Univ Sch Mech Engn Guiyang Peoples R China Cent South Univ Coll Mech & Elect Engn Changsha Peoples R China

Since installing speed sensors on the grinding head for high-speed precision roll grinders is not feasible, it is necessary to use direct torque control (DTC) without speed sensors, and its control system requires high estimation accuracy. In this paper, speed estimation methods using extended Kalman filter (EKF) and model reference adaptive system (MRAS) have been used to realise speed estimation in the DTC system of the spindle motor of the grinding head for a high-speed precision roll grinder. The simulation results showed that the EKF method has relatively high accuracy and a fast convergence speed for the estimation speed of the spindle motor of the grinding head for a high-speed precision roll grinder by comparison with the MRAS method. Moreover, the EKF method was also able to overcome the nonlinear and parameter uncertainty of the operating system of the motor and strongly immune to the noise interference of the system. Finally, the speed estimation accuracy of the motor using the EKF method had better than the MRAS method. Therefore, this work provides a general approach to applying the DTC without speed sensors for the motor and further lays a solid foundation for developing high-speed precision roll grinders.

关键词： High-speed precision roll grinder spindle motor direct torque control model reference adaptive system extended Kalman filter speed estimation

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Efficient Sensorless Speed Predictive Control Without Weighting Factors For PMSM Drive Based On MRAS Estimator

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JOURNAL OF APPLIED SCIENCE AND ENGINEERING 2024年第12期27卷 3697-3710页

作者： Adel, Mahmoud M. Saleh, Amr A. Hassan, Mohamed A. Kennel, Ralph Farhan, Ahmed Fayoum Univ Fac Engn Elect Engn Dept Faiyum 63514 Egypt King Faisal Univ Coll Engn Dept Elect Engn Al Hasa 31982 Saudi Arabia Tech Univ Munich Chair High Power Converter Syst D-80333 Munich Germany

In this study, a simplified accurate technique for sensorless direct speed predictive control (DSPC) for the permanent magnet synchronous motor (PMSM) based on the model reference adaptive system (MRAS) is presented. The suggested (DSPC) approach utilizes an innovative method that uses all electrical and mechanical variables in a single control law to determine the best switching vector for the inverter during the following sampling interval. The proposed cost function is simple without weighting factors due to the employment of a sliding term containing the speed/current tracking. As a result, the proposed technique eliminates the PI controllers compared to the conventional vector control approach, getting rid of the drawbacks of the common vector control's cascaded control structure (speed and current loops). model reference adaptive system is employed to estimate the PMSM speed/position. Particle swarm optimization (PSO) technique is employed to tune the MRAS PI controller gain and integration parameters to get an accurate speed/position estimation. A fair comparison between the suggested DSPC and the conventional current predictive control (CPC), which employs a PI controller in the outer speed loop, is provided to clarify the aspects of the proposed method. To ensure the robustness of the proposed approach, the response for different dynamic operating points is examined using MATLAB M-file/Simulink simulation. The simulation results illustrate distinct response of the DSPC providing good settling time, rise time and steady state error and accepted overshoot with a satisfied torque/current ripples. Also, the results show the excellent tracking of PMSM motor speed/position using MRAS technique. According to simulation comparison results between the suggested DSPC and conventional CPC, the proposed DSPC exhibits much better transient and steady state performance.

关键词： Permanent magnet synchronous motor model predictive control model reference adaptive system Sensorless

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Design and Stability Analysis of Modified Real Power-Based Stator Resistance Estimation for DTFC-SVM of Multi-Level Inverter Fed Speed Sensorless PMSM Drive

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ELECTRIC POWER COMPONENTS AND systemS 2024年第4期52卷 593-609页

作者： Pothuraju, Ramakrishna Ramesh, Tejavathu Natl Inst Technol Andhra Pradesh Dept Elect Engn Tadepalligudem India

This article presents the design and stability analysis of real power-based stator resistance estimation method for sensorless control of permanent magnet synchronous motors (PMSM) using of model reference adaptive system. The proposed method uses a direct torque and flux control scheme with space vector modulation for PMSM control. The speed, torque, and flux PI controllers are designed in the synchronous reference frame and their stability is analyzed besides stator resistance estimation stability. The proposed method is implemented on a PMSM drive fed by two-level, three-level, and five-level inverters and the performance is validated through experimental and simulation results under different operating conditions. The results proved that the proposed method provides an accurate and stable estimation of stator resistance and improved control performance of the PMSM drive.

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

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Robust synergetic-sliding mode-based-backstepping control of induction motor with MRAS technique

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ENERGY REPORTS 2023年 10卷 3665-3680页

作者： Zellouma, Dalal Bekakra, Youcef Benbouhenni, Habib Univ El Oued Dept Elect Engn POB 789 El Oued Algeria Nisantasi Univ Fac Engn & Architecture Dept Elect & Elect Engn TR-34481742 Istanbul Turkiye

This paper proposes a new speed control of an induction motor (IM) drive, which is based the combination between the backstepping control (BC) and synergetic-sliding mode controller (SSMC). In addition, it was proposed to use the model reference Adaptation system (MRAS) to estimate the IM speed with the aim of reducing speed error and increasing the performance and efficiency of the proposed system. IM has already been considered for many applications, especially traction systems that mainly use proportional-integral controllers. However, such types of controllers do not handle well in the event of a system malfunction. These may reduce the performance of the control system. Therefore, a robust nonlinear control, namely BC-SSMC with MRAS, is proposed. This control relies on combining the advantages of both BC and SSMC to control the IM speed. Also, the MRAS was used to replace the speed sensor with the aim of reducing the periodic maintenance of this sensor and thus reducing the size and cost of the system. The robustness of the BC-SSMC-MRAS was analyzed with respect to the occurrence of system malfunctions, as it is considered the most robust compared to BC. The simulation results performed on the 1.5 kW IM showed the effectiveness of the BC-SSMC-MRAS in enhancing the system durability, reducing the torque ripples and improving the current quality. In all tests performed, the speed overshoot value was improved by 100 % compared to the BC. Also, the torque and flux ripples in the event of a machine malfunction are improved by 50 % and 77.14 %, respectively, compared to the BC. In the speed change test, the response time and steady-state error of speed values were improved by 5.26 % and 67.56 %, respectively. So all these ratios prove the superiority of the BC-SSMC-MRAS over the BC in terms of improving system performance.

关键词： Induction motor Backstepping control Synergetic-sliding mode controller model reference adaptive system

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Modified active power-MRAS for limited range variable speed sensorless brushless doubly-fed reluctance machine drive

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COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING 2023年第2期42卷 425-448页

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

Purpose This paper aims to suggest a parameter independent and simple speed estimator for primary field-oriented control of a promising electro-mechanical energy conversion device in the form of brushless doubly-fed reluctance machine (BDFRM) drive. Design/methodology/approach The speed estimation algorithm, in this context, is formulated using a modified secondary winding active power (mPs)-based model reference adaptive system (MRAS). The performance of the proposed estimator is verified through computer aided MATLAB simulation study, compared with conventional active power-based MRAS and further supported with experimental validation using a 1.6 kW BDFRM prototype run by a dSPACE-1103 controller. Findings The formulation of mPs-MRAS is insensitive to any machine parameters and does not involve any integration/differentiation terms. Thus, any deviation therein does not hinder the performance of the mPs-MRAS-based speed estimator. The proposed speed estimator shows stable behavior for variable speed-constant load torque operation in all the four quadrants. Originality/value The formulation of mPs-MRAS is insensitive to any machine parameter and does not involve any integration/differentiation terms.

关键词： Electrical machine Electric converters Sensorless control Electromechanical energy converter Doubly-fed machines model reference adaptive system Primary field orientation Pump storage Wind power generation

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