Article
Thermodynamics
Ting Xu, Zebin Yang, Xiaodong Sun, Jingjing Jia
Summary: The study proposed a sensorless control strategy based on fuzzy PI fractional MRAS for BL-IM, which effectively realizes the suspended rotor speed self-identification and achieves high reliability and low cost for the motor.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2022)
Article
Computer Science, Hardware & Architecture
Soukaina El Daoudi, Loubna Lazrak, Najib El Ouanjli, Mustapha Ait Lafkih
Summary: A fuzzy direct torque control (DTC) technique was developed to reduce electromagnetic torque and stator flux ripples while improving stator current waveforms in asynchronous motor drive. The hysteresis comparators and voltage vector switching table of classic DTC were replaced by a fuzzy logic block. Performance analysis was conducted under various operating conditions, including steady and transient states, low, medium, and high speeds, speed reversal, and application of different loads at different times, comparing the fuzzy logic-based DTC with the non-linear sliding mode DTC.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Automation & Control Systems
Huimin Wang, Yongheng Yang, Xinglai Ge, Yun Zuo, Xiaoyun Feng, Dunzhi Chen, Yong-Chao Liu
Summary: This article proposes a speed estimation scheme that combines the super-twisting algorithm with an FLL for speed-sensorless control in induction motor drives. The scheme improves reliability and reduces cost by eliminating the need for a speed sensor. It utilizes an adaptive second-order generalized integrator-FLL structure and a properly designed STA-QSG to improve speed estimation accuracy, and adopts a closed-loop flux observer for disturbance mitigation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Hosein Holakooie, Grzegorz Iwanski
Summary: This article investigates the simultaneous identification of the rotor time constant and rotor speed for sensorless IFOC of six-phase induction motor drives, proposing a novel estimation method based on an adaptive observer and MRAS, ensuring system stability using Lyapunov theorem. The simulation and experimental results confirm the effectiveness of the proposed estimation system.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Adrish Bhaumik, Sukanta Das
Summary: Nowadays, predictive current control (PCC) strategy is a promising option for electric drives due to its control flexibility, fast dynamic response, and structure without weighting factors. However, conventional control strategies lead to significant harmonics in stator current, resulting in steady state flux and torque ripple. To overcome these shortcomings, this study proposes a PCC strategy with the concept of virtual voltage vector (V3). The proposed V3PCC is more advanced in delay compensation and less parameter sensitive compared to the conventional approach. The performance of the proposed V3PCC is compared with a weighting factorless V3 based predictive flux control (PFC) scheme in induction motor (IM) drive, and the analysis is validated through simulations and experiments.
Article
Engineering, Electrical & Electronic
Tianqing Wang, Bo Wang, Yong Yu, Dianguo Xu
Summary: By combining the robustness of sliding-mode observer (SMO) and the adaptability of model reference adaptive system (MRAS), the sliding-mode-based MRAS can enhance the speed estimation performance of speed-sensorless induction motor (IM) drives. However, there is a mismatch problem between the fixed SMO gains and the variable stability boundary, resulting in performance degradation or instability in high-speed range. To address this issue, a discrete SMO is proposed to expand the effective operation range of the sliding-mode-based MRAS. Experimental results confirm the effectiveness of the proposed speed estimation scheme.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Mohamed Amine Fnaiech, Jaroslaw Guzinski, Mohamed Trabelsi, Abdellah Kouzou, Mohamed Benbouzid, Krzysztof Luksza
Summary: This paper introduces a newly designed control method that combines SLF-SMC with MRAS for induction motor control, achieving better performance. Experimental results demonstrate that the proposed SLF-SMC technique outperforms the traditional PI controller under different speed ranges and inertia conditions.
Review
Engineering, Electrical & Electronic
Huimin Wang, Yongheng Yang, Xinglai Ge, Yun Zuo, Yan Yue, Songtao Li
Summary: This article provides a comprehensive review of PLL- and FLL-based speed estimation schemes and identifies the issue of estimation errors in many schemes. To address this problem, validated schemes and new attempts are presented, along with solutions to tackle various disturbances. Additionally, two representative estimation schemes are exemplified through experimental tests.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Multidisciplinary
Jose-Carlos Gamazo-Real, Victor Martinez-Martinez, Jaime Gomez-Gil
Summary: This article presents a method for estimating position and speed measurements without sensors using terminal phase voltages with attenuated spurious, acquired with a FPGA that also operates a PWM-controlled inverter. The results show that the overall position estimation significantly improved conventional and advanced methods, while the speed estimation slightly improved conventional methods and was worse than in advanced ones.
Article
Engineering, Multidisciplinary
Huimin Wang, Yun Zuo, Yuelei Zheng, Chunxu Lin, Xinglai Ge, Xiaoyun Feng, Yongheng Yang, Abebe Woldegiorgis, Dunzhi Chen, Songtao Li
Summary: This article explores a delay-based frequency estimation (DFE) scheme for sensorless speed control of induction motors. The proposed scheme achieves speed estimation by using the estimated rotor flux and its delay signals. A closed-loop flux observer is implemented to maintain speed estimation, considering disturbances like dc offsets.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Yun Zuo, Xinglai Ge, Yuelei Zheng, Yuexuan Chen, Huimin Wang, Abebe Teklu Woldegiorgis
Summary: This article proposes an adaptive active disturbance rejection control strategy for speed-sensorless induction motor drives. By using an adaptive ESO to estimate the speed and disturbance, as well as using a speed controller and a closed-loop flux observer to improve system dynamics, better control performance is achieved.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Automation & Control Systems
Cheng Luo, Ruhan Li, Kai Yang, Bo Wang, Yong Yu, Dianguo Xu
Summary: This article presents a graphical design method of multiple-error feedback matrix (ME-FBM) for adaptive full-order observer. By introducing flux error and current error and reconstructing the stability function, the ME-FBM is graphically developed to satisfy the stability necessary condition, eliminating the unstable region in low-speed regenerating mode. The gains of ME-FBM are graphically selected to reduce the error of estimated rotor flux and improve the robustness against parameter uncertainties at low-stator frequencies. The effectiveness of proposed ME-FBM is verified on a 2.2 kW IM experimental setup.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Yawer Abbas Khan, Vimlesh Verma
Summary: In this paper, a discussion on unipolar vector-controlled speed sensorless SRM-drive is highlighted. A new MRAS-based scheme is proposed to improve the performance of speed-sensorless vector controlled SRM drive. The proposed scheme does not require the measured value of stator resistance and is insensitive to variations in stator resistance. It is also less sensitive to the inductance related parameter 'Lav' compared to other speed estimators. The proposed scheme is stable and suitable for aircraft propulsion applications.
Article
Engineering, Electrical & Electronic
Huimin Wang, Yongheng Yang, Dunzhi Chen, Xinglai Ge, Songtao Li, Yun Zuo
Summary: This article proposes an open-loop synchronization method for speed-sensorless control of induction motor drives. The proposed method estimates the speed using sinusoidal signals and their time-delay signals, and employs a closed-loop flux observer to handle disturbance from dc offsets. Compared to other methods, this approach can maintain system dynamics and stability margin.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Tiago Henrique dos Santos, Ivan Nunes da Silva, Alessandro Goedtel, Marcelo Favoretto Castoldi, Bruno Augusto Angelico
Summary: This study proposes using a single time delay neural network as a speed estimator in order to address the high cost of direct speed measurement in induction motors. By training and validating the neural networks while considering parameter variations, the proposed method can achieve robust speed estimation and is applicable to different control strategies.
