A Modified Model Predictive Torque Control with Parameters Robustness Improvement for PMSM of Electric Vehicles

Gao, Siyu; Wei, Yanjun; Zhang, Di; Qi, Hanhong; Wei, Yao

doi:10.3390/act10060132

Cited by 9 publications

(12 citation statements)

References 28 publications

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“…and mechanical equation. According to references [25,26], the mathematical model of the PMSM in a two-phase d-q rotating coordinate system is…”

Section: Introductionmentioning

confidence: 99%

Research on the EMA Control Method Based on Transmission Error Compensation

Zhang,

Shi,

et al. 2024

Energies

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This research investigates the impact of nonlinear clearance factors on position tracking accuracy in the servo drive system of a harmonic reducer. The study introduces a technique for modeling and compensating for transmission errors, thereby improving position tracking accuracy through online compensation combined with an auto-disturbance rejection controller. Initially, the mathematical model of the permanent magnet synchronous motor is outlined, and the current loop and speed loop control models are derived. Subsequently, an electromechanical actuator (EMA) simulation model with clearance is established, and detailed simulation analysis is conducted to verify the impact of clearance on tracking accuracy. A model for online compensation of transmission errors is then developed. Following the principles of active disturbance rejection control (ADRC), a second-order ADRC is formulated for real-time compensation of transmission errors in EMA position mode. Finally, through no-load and load experiments, the change in position tracking error with and without transmission error compensation is compared and analyzed. The results demonstrate that utilizing automatic disturbance rejection control with transmission error compensation achieves the highest position tracking accuracy. Compared to the proportion integration differentiation (PID) control method, the root mean square of position tracking error is reduced by approximately 12.8% and 17.3% under no-load and load conditions, respectively. By compensating for position errors online, the accuracy of the EMA position can be improved.

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“…and mechanical equation. According to references [25,26], the mathematical model of the PMSM in a two-phase d-q rotating coordinate system is…”

Section: Introductionmentioning

confidence: 99%

Research on the EMA Control Method Based on Transmission Error Compensation

Zhang,

Shi,

et al. 2024

Energies

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“…[1][2][3][4][5][6]. At present, people pay much attention to the weakening of the cogging torque, to the reduction in torque ripple, and to the suppression of the vibration or noise of the SMPMM [7][8][9][10][11]. These are required in order to firstly obtain the magnetic flux density of the SMPMM.…”

Section: Introductionmentioning

confidence: 99%

An Analytical Method for Determining Flux Density in Surface-Mounted Permanent Magnet Machines with Unequal Magnetic Poles

Zhai,

Yu,

Shan

et al. 2023

Electronics

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An analytical method was proposed for obtaining the magnetic field distribution for surface-mounted permanent magnet machines with the structure of unequal magnetic poles. Firstly, the Laplace equation and Poisson equation were solved using the method of the separation of variables, and then the mathematical model of the motor structure with unequal magnetic poles was obtained. Secondly, according to the design parameters of the two types of prototypes motors, the flux density in the air gap region of the two types of prototypes motors was calculated, respectively. Thirdly, by comparing the results calculated using the analytical method with the results obtained using the finite element method, the analytical method proposed in this paper was proven to be effective. Moreover, the armature reaction field and the effect of the stator slotting were considered in the mathematical model as well. Overall, the analytical method presented in this paper provides a theoretical basis for the analytical calculation of motors with the structure of unequal magnetic poles.

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“…With the rapid development of automated manufacturing technology, aerospace technology and high performance chip technology, permanent magnet synchronous motor has been widely used in various application fields with its advantages of high efficiency and high performance. [1][2][3][4][5] . In traditional PMSM control systems, it is usually necessary to use sensors to obtain rotor position and speed information for closed-loop control.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of permanent magnet synchronous motor based on UKF

Yang,

Li,

Chen

et al. 2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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In order to solve the problems of high cost, large volume and difficult maintenance when traditional mechanical sensors are used in permanent magnet synchronous motor, a sensorless system model of permanent magnet synchronous motor based on untracked Kalman observer is established in this paper, and the running state of permanent magnet synchronous motor is predicted by untracked Kalman algorithm to achieve closed-loop control. The simulation results show that the traceless Kalman observer has the advantages of accurate prediction, good dynamic and static performance, and strong anti-interference ability. It solves the defects of traditional permanent mechanical sensors to a large extent and has great application prospects in the future.

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A Modified Model Predictive Torque Control with Parameters Robustness Improvement for PMSM of Electric Vehicles

Cited by 9 publications

References 28 publications

Research on the EMA Control Method Based on Transmission Error Compensation

Research on the EMA Control Method Based on Transmission Error Compensation

An Analytical Method for Determining Flux Density in Surface-Mounted Permanent Magnet Machines with Unequal Magnetic Poles

Sensorless control of permanent magnet synchronous motor based on UKF

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