Sensorless Predictive Control of SPMSM-Driven Light EV Drive Using Modified Speed Adaptive Super Twisting Sliding Mode Observer With MAF-PLL

Sreejith, R; Singh, Bhim

doi:10.1109/jestie.2020.3014866

Cited by 68 publications

(4 citation statements)

References 28 publications

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“…The Luenberger Observer primarily aims to estimate the internal states of an observed system based on its input and output signals, and subsequently reconstruct the observed system. In this study [3][4][5][6][7][8][9][10] , we apply the theory of the Luenberger Observer to establish a model of a permanent magnet synchronous motor, as shown in Figure 1, along with its corresponding observer model. [11][12]…”

Section: Related Workmentioning

confidence: 99%

Research on Speed Sensorless Vector Control of Permanent Magnet Synchronous Motor

Ma,

Kang,

Liu

2024

Advances in Transdisciplinary Engineering

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At present, permanent magnet synchronous motor is widely used in industry. High performance permanent magnet synchronous motor control strategy has become the focus of research and development of researchers all over the world, and the position sensorless control of synchronous motor has become an important development trend in the future. Based on this, this paper proposes a sensorless vector control method of Luenberger observer in DQ coordinate system. Firstly, based on the vector control mathematical model of synchronous motor in DQ coordinate system, Luenberger observer in DQ coordinate system is constructed to calculate the motor speed and rotor position. Secondly, a simulation model is built to study the control performance of the sensorless system of permanent magnet synchronous motor. Finally, the feasibility and effectiveness of the Luenberger observer sensorless vector control method for PMSM are verified by the motor.

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Section: Related Workmentioning

confidence: 99%

Research on Speed Sensorless Vector Control of Permanent Magnet Synchronous Motor

Ma,

Kang,

Liu

2024

Advances in Transdisciplinary Engineering

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“…The authors Singh, 2020), investigates the benefits of using MPC and SMC for PMSMs. The study reveals that both techniques offer various advantages, including enhanced dynamic performance, resilience to parameter fluctuations, and reduced control signal chattering.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing PMSM performance by integrating predictive current, speed and sliding mode flux weakening controllers

Kethiri,

Charrouf

2024

SEES

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To improve the control performances of permanent magnet synchronous motors (PMSMs), this paper combines the sliding mode controller (SMC) and model predictive controller (MPC) to balance the contradictions between stability and dynamic performance, reduce current and torque ripples, and provide precise, complete current and speed control. At first, the MPC is employed to control the current and speed of motors, which could solve the chattering issue of the traditional sliding mode control method and effectively guarantee the stability of the control system. Second, a sliding mode observer (SMO) is incorporated to eliminate the interference of flux variation and then reduce the current and torque ripples. Meanwhile, the sliding mode controller is used to adjust the speed of motors and generate an adjustable switching surface to implement rapid and accurate control of the motor. This paper presents the design and realization process of each controller in detail, respectively shows the design principle of the combined controller and verifies the control effect of the combined controller under different motor speeds through simulation, and analyzes the control advantages and its application. The simulation results prove that the combined controller reduces the current and torque ripples to a certain extent in speed regulation, and the control performance is more stable and robust over a wide range of speed. In addition, this paper discusses the practical application of combined controllers in industrial and electric vehicle motor control in the later stages and presents the influence and significance of combined controllers on the efficiency and stability of PMSM control. From the perspective of application and system integration, the integrated design of SMC, SMO, and MPC can further promote the development of high-performance PMSM in the industrial and automotive industries in the future.

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“…In [30,31], to eliminate the chattering and avoid using the LPF, the continuous sigmoid function and hyperbolic function are employed as alternatives to the sign function. In [32,33], a super-twisting sliding mode observer (STSMO) is utilized, and its effectiveness in suppressing chattering is validated through simulations and experiments. For the SMO, a phase-locked loop (PLL) is widely employed to estimate the rotor's position and speed.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Surfaced-Mounted Permanent Magnet Synchronous Motor in a Wide-Speed Range

Li,

Cui,

2024

Electronics

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This paper delves into a comprehensive study of a wide-speed-range sensorless control approach for surface-mounted permanent magnet synchronous motors (SPMSMs). In the low-speed range, a novel high-frequency pulse voltage injection (HFPVI) method is introduced for rotor position estimation, which does not depend on motor saliency and is well-suited for SPMSMs. This method incorporates a second-order generalized integrator (SOGI) and a new modulation signal to enhance the accuracy of rotor position estimation. For medium-to-high speeds, an improved super-twisting sliding mode observer (STSMO) utilizing a continuous hyperbolic tangent function is proposed to mitigate chattering. Additionally, a new phase-locked loop (NPLL) is introduced to accurately obtain the rotor position. Furthermore, this paper designs an exponential weighted switching function to facilitate a smooth transition of the motor from the low-speed domain to the medium- and high-speed domains. The effectiveness and superiority of the proposed methods are validated through simulations and experiments conducted on an RTU-BOX platform. The rotor position estimation errors of the proposed new HFPVI method and the improved STSMO method under various operating conditions are both approximately 0.05 rad (2.8 elc·deg), and the SPMSM can switch smoothly from the low-speed range to the medium- and high-speed ranges.

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Sensorless Predictive Control of SPMSM-Driven Light EV Drive Using Modified Speed Adaptive Super Twisting Sliding Mode Observer With MAF-PLL

Cited by 68 publications

References 28 publications

Research on Speed Sensorless Vector Control of Permanent Magnet Synchronous Motor

Research on Speed Sensorless Vector Control of Permanent Magnet Synchronous Motor

Optimizing PMSM performance by integrating predictive current, speed and sliding mode flux weakening controllers

Sensorless Control of Surfaced-Mounted Permanent Magnet Synchronous Motor in a Wide-Speed Range

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