Multiple-Iteration Search Sensorless Control for Linear Motor in Vehicle Regenerative Suspension

Sun, Xiaodong; Wu, Minkai; Yin, Chengliang; Wang, Shaohua; Tian, Xiang

doi:10.1109/tte.2021.3052989

Cited by 20 publications

(3 citation statements)

References 26 publications

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“…e rotor position of the motor plays an important role in the start and operation of the motor, among which the detection of the initial position angle and the rotor position of the motor operation will affect the performance of the motor speed regulation system [18][19][20][21].…”

Section: Related Researchmentioning

confidence: 99%

Speed Sensorless Control Based on Initial Rotor Position Detection for EESM

Cai

Sun

2022

Mathematical Problems in Engineering

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Electrically excited synchronous motor (EESM) is widely used in many large equipment drives because of its strong overload capacity, high efficiency, and adjustable power factor. The research and development of a high-performance EESM control system can realize the high combination of energy-saving speed regulation and green environmental protection and has a high social effect and economic value. In this paper, the signal injection method is used to obtain the initial rotor position information of EESM. Sliding Fourier transform is used to improve the initial position angle detection method based on the rotor signal injection method, and the improved method is compared with the traditional voltage integration method. Rotor high-frequency signal injection method was used to detect the rotor position information of the motor during operation, and the influence of the damping winding on the rotor signal injection method was analyzed. On the premise that the damping winding had no influence on the method, a method of obtaining the rotor position information of EESM without a speed sensor was designed. Finally, the speed sensorless regulation system using the initial rotor position detection method is simulated, which verifies the accuracy of the proposed speed sensorless control scheme.

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Section: Related Researchmentioning

confidence: 99%

Speed Sensorless Control Based on Initial Rotor Position Detection for EESM

Cai

Sun

2022

Mathematical Problems in Engineering

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“…FCS-MPC is based on the discrete switching characteristics of the inverter and uses the discrete model to predict the motor's future torque or current response in a finite switching state. Subsequently, a value function evaluates the forthcoming response to each switching state and chooses the best one to regulate the motor [3]. The conventional FCS-MPC algorithm acts on only one voltage vector per control cycle, resulting in significant harmonics and poor control effects on the phase currents.…”

Section: Introductionmentioning

confidence: 99%

Predictive current control based on dual vector permanent magnet synchronous motor model

Wang,

Shi,

Lin

et al. 2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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“…In the closedloop control system of the PMLSM, the control performance is often closely related to the accuracy and timeliness of the speed information of the feedback side mover. Because the installation of traditional mechanical sensors will bring defects such as increased cost, increased installation difficulty, and limited application occasions, it is of great significance to apply a sensorless control strategy to the closed-loop mo-tion control of the PMLSM to achieve efficient, reliable, and low-cost direct drive control (Sun et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A new sensorless control strategy of the PMLSM based on an ultra-local model velocity control system

Zhang

Feng

et al. 2022

Mech. Sci.

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Abstract. To improve the control performance and dynamic response of the permanent magnet linear synchronous motor (PMLSM), a new sensorless control strategy of the PMLSM with the ultra-local model velocity control system is designed in this paper. Firstly, a model-free speed controller (MFSC) is constructed based on the principle of the ultra-local model. Meanwhile, based on the traditional sliding-mode observer (SMO), the back-electromotive force (BEMF) in the SMO is optimized by the model reference adaptive system (MRAS) to improve the observed speed information of the PMLSM. This control strategy improves the dynamic response ability and stability of the PMLSM system. Compared with the traditional motor control strategy, this design gets rid of the dependence on mechanical sensors, improves the dynamic response ability of the PMLSM, and reduces the velocity tracking error. The superiority of the control system is verified by simulation and experiment. Compared with the traditional dual proportional–integral (PI) control system and SMO, the new control strategy can improve the dynamic response performance of the PMLSM, enhance the stability, and track the speed information of the PMLSM with low error to reduce the chatter.

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Multiple-Iteration Search Sensorless Control for Linear Motor in Vehicle Regenerative Suspension

Cited by 20 publications

References 26 publications

Speed Sensorless Control Based on Initial Rotor Position Detection for EESM

Speed Sensorless Control Based on Initial Rotor Position Detection for EESM

Predictive current control based on dual vector permanent magnet synchronous motor model

A new sensorless control strategy of the PMLSM based on an ultra-local model velocity control system

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