Article
Engineering, Electrical & Electronic
Yongbao Guo, Haixia Wang, Tao Su
Summary: In this paper, a new full-order adaptive observer algorithm is proposed to overcome the instability of speed sensorless vector control system of induction motor at low speed. The algorithm consists of the improved feedback matrix algorithm and the improved speed adaptive law algorithm. By considering the non-linear voltage error of the inverter and the stator resistance voltage drop, the algorithm reduces the effect of these factors on speed estimation and improves the motor speed estimation accuracy at low speed.
IET POWER ELECTRONICS
(2022)
Article
Automation & Control Systems
Wenqi Lu, Yu Zhao, Bo Yan, Kaiyuan Lu, Yongfei Zhang, Liang Guo
Summary: This article proposes a new self-balancing yarn number control method based on a novel sensorless permanent magnet synchronous motor (PMSM) speed drive system. The new drive system improves the response speed and accuracy of yarn feeding, with characteristics of fast start-stop and high dynamic response, meeting the requirements of high-response and high-precision yarn feeding for the weft accumulator.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Mathematics
Yongjie Yang, Xudong Liu
Summary: This paper proposes a nonsingular terminal sliding mode observer and adaptive observer to improve the sensorless control performance of electrical drive systems and solve the problems of chattering and phase delay. The effectiveness and feasibility of the proposed methods are demonstrated through experiments.
Article
Engineering, Multidisciplinary
Yu Cao, Chuang Liu
Summary: An adaptive sliding mode observer (ASMO) is designed in this paper to address the chattering problem in traditional sliding mode observer (SMO) when estimating rotor position and speed in surface-mounted permanent magnet synchronous motor (SPMSM) control system. The ASMO can reduce chattering, simplify system structure, and adjust sliding mode gain adaptively to improve control accuracy. Simulation results show that the proposed control strategy can meet system accuracy requirements, reduce chattering, and solve the difficulty of determining gain.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Computer Science, Information Systems
Sai Shiva Badini, Vimlesh Verma, Mohd Tariq, Shabana Urooj
Summary: A single current sensor-based speed sensorless vector controlled PMSM drive is proposed in this paper. The speed, position, and currents of the 3-Phi PMSM drive are estimated using only one current sensor. The drive becomes sensorless by using the Y-MRAS technique for estimation, and the stability and performance are verified through modeling, simulation, and experimental validation.
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
Automation & Control Systems
Ridvan Demir
Summary: This study proposes stator currents-based model reference adaptive system (MRAS) estimators for speed estimation of the PMSM. Adaptive filtering algorithms, namely the least mean squares (LMS) and least mean Kurtosis (LMK) algorithms, are used in the adaptation mechanism. The proposed estimators directly estimate the rotor speed of the PMSM by considering the error between the measured stator currents (reference model) and the stator currents at the output of the adaptive model. Simulation results demonstrate that the proposed estimators outperform MRAS using a traditional PI controller and eliminate the need for a fixed-gain PI controller often used in MRAS structures.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Ying Zuo, Chunyan Lai, K. Lakshmi Varaha Iyer
Summary: This article provides a comprehensive review and investigation of sliding mode observer (SMO)-based sensorless control strategies for permanent magnet synchronous machines (PMSMs). The design of SMO under nonideal conditions is presented, and future research trends for SMO-based sensorless control strategies are discussed.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
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
Engineering, Electrical & Electronic
Yawer Abbas Khan, Vimlesh Verma
Summary: This paper discusses the use of a F-MRAS speed estimator for SRM drive, as well as a novel stator resistance estimator for robust speed estimation. The stability analysis of the estimators is detailed, showing good performance in both motoring and regeneration modes.
ELECTRICAL ENGINEERING
(2021)
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.
Article
Computer Science, Information Systems
Zheng Li, Jinsong Wang, Shaohua Wang, Shengdi Feng, Yiding Zhu, Hexu Sun
Summary: This study presents a sensorless control system based on continuous terminal sliding mode controller (CT-SMC) and fuzzy super-twisted sliding mode observer (F-ST-SMO). The system improves the tracking capability and sensorless estimation accuracy of a permanent magnet linear synchronous motor (PMLSM) control system, achieves fast tracking of reference speed, and reduces chattering of the system.
Article
Computer Science, Information Systems
Lei Zhang, Zhe Dong, Liang Zhao, Salah Laghrouche
Summary: This paper proposes a sliding mode observer for speed-sensorless direct torque vector control of linear induction motor, which can accurately estimate motor operating parameters and perform well at different speeds. The convergence of the observer is proven using Lyapunov theory and its performance is verified through hardware-in-the-loop testing. A comparative study with other observers is also conducted.
Article
Automation & Control Systems
Kwan Soo Kim, Seok-Kyoon Kim, Choon Ki Ahn
Summary: This study proposes a parameter-independent decentralized speed synchronizer for multiservo systems without a current feedback loop. The observer exponentially estimates the speed derivative without requiring system parameter information, using closed-loop pole-zero cancellation. The proposed decentralized synchronizer can be implemented in real-time feedback-loop adaptation using only nominal system parameter information. Experimental verification using QUBE-servo2 and myRIO1900 processors confirms the effectiveness of the closed-loop.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Abdulhamit Nurettin, Nihat Inanc
Summary: In order to achieve a balance between estimation accuracy and the chattering problem in sensorless induction motor drive systems, an adaptive-gain super-twisting sliding mode observer (AGSTSMO) is proposed. The AGSTSMO assigns adaptive gains utilizing Lyapunov stability theory, ensuring rapid convergence and improving accuracy at very low and zero speeds. Simulation and experimental results demonstrate the effectiveness of the suggested approach in achieving estimation precision and suppressing chattering, as well as its superiority compared to a super-twisting sliding mode observer (STSMO) under various operating conditions.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Huimin Wang, Xinglai Ge, Yong-Chao Liu
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Xinglai Ge, Junkai Pu, Bin Gou, Yong-Chao Liu
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2018)
Article
Engineering, Electrical & Electronic
Qidi Tang, Xinglai Ge, Yong-Chao Liu, Maojun Hou
IET ELECTRIC POWER APPLICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Huimin Wang, Yong-chao Liu, Xinglai Ge
IET ELECTRIC POWER APPLICATIONS
(2018)
Article
Automation & Control Systems
Huimin Wang, Xinglai Ge, Yan Yue, Yong-Chao Liu
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Automation & Control Systems
Yong-Chao Liu, Salah Laghrouche, Abdoul N'Diaye, Maurizio Cirrincione
Summary: This paper proposes a novel Hermite neural network-based second-order sliding-mode (HNN-SOSM) control strategy for the synchronous reluctance motor (SynRM) drive system. The control strategy consists of speed control loop and current control loop, utilizing different control methods for each loop to achieve good control performance.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Electrical & Electronic
Yong-Chao Liu, Salah Laghrouche, Daniel Depernet, Abdesslem Djerdir, Maurizio Cirrincione
Summary: This article introduces a novel disturbance-observer-based complementary sliding-mode speed controller for FOC-PMSM drive system, which effectively handles disturbances in the system and demonstrates significant advantages in experimental comparisons.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(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
Automation & Control Systems
Yong-Chao Liu, Salah Laghrouche, Daniel Depernet, Abdoul N'Diaye, Abdesslem Djerdir, Maurizio Cirrincione
Summary: A novel composite speed controller, combining sliding-mode control and extended state observer, is proposed in this paper to address the robust speed control problem of the surface-mounted permanent-magnet synchronous motor (SPMSM) drive. The experimental results validate the superiority of this controller.
ASIAN JOURNAL OF CONTROL
(2023)
Review
Energy & Fuels
Hedi Basbas, Yong-Chao Liu, Salah Laghrouche, Mickael Hilairet, Franck Plestan
Summary: This article reviews modeling approaches for floating offshore wind turbines and selects an optimal control model based on performance evaluation to optimize energy extraction and reduce platform oscillation.
Proceedings Paper
Engineering, Electrical & Electronic
Yong-Chao Liu, Salah Laghrouche, Abdoul N'Diaye, Siwan Narayan, Giansalvo Cirrincione, Maurizio Cirrincione
2019 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC)
(2019)
Proceedings Paper
Energy & Fuels
Yong-Chao Liu, Salah Laghrouche, Abdoul N'Diaye, Maurizio Cirrincione
2019 INTERNATIONAL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS (ACEMP) & 2019 INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT (OPTIM)
(2019)
Proceedings Paper
Green & Sustainable Science & Technology
Yong-Chao Liu, Salah Laghrouche, Abdoul N'Diaye, Maurizio Cirrincione
2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)
(2018)
Correction
Engineering, Electrical & Electronic
Yong-Chao Liu, Xinglai Ge, Qidi Tang, Bin Gou
ELECTRONICS LETTERS
(2017)
