scholarly journals Research on an Improved Sliding Mode Sensorless Six-Phase PMSM Control Strategy Based on ESO

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1292
Author(s):  
Hanying Gao ◽  
Guoqiang Zhang ◽  
Wenxue Wang ◽  
Xuechen Liu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Sliding Mode ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Estimation Accuracy ◽  
Switching Function ◽  
Motor Speed ◽  
Rotor Position

The six-phase motor control system has low torque ripple, low harmonic content, and high reliability; therefore, it is suitable for electric vehicles, aerospace, and other applications requiring high power output and reliability. This study presents a superior sensorless control system for a six-phase permanent magnet synchronous motor (PMSM). The mathematical model of a PMSM in a stationary coordinate system is presented. The information of motor speed and position is obtained by using a sliding mode observer (SMO). As torque ripple and harmonic components affect the back electromotive force (BEMF) estimated value through the traditional SMO, the function of the frequency-variable tracker of the stator current (FVTSC) is used instead of the traditional switching function. By improving the SMO method, the BEMF is estimated independently, and its precision is maintained under startup or variable-speed states. In order to improve the estimation accuracy and resistance ability of the observer, the rotor position error was taken as the disturbance term, and the third-order extended state observer (ESO) was constructed to estimate the rotational speed and rotor position through the motor mechanical motion equation. Finally, the effectiveness of the method is verified by simulation and experiment results. The proposed control strategy can effectively improve the dynamic and static performance of PMSM.

scholarly journals Iterative sliding mode observer for sensorless control of five-phase permanent magnet synchronous motor

2017 ◽  
Vol 65 (6) ◽  
pp. 845-857
Author(s):  
J. Yang ◽  
M. Dou ◽  
D. Zhao
Keyword(s):  
Permanent Magnet ◽  
Sliding Mode ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Sliding Mode Observer ◽  
Motor Speed ◽  
Third Harmonic ◽  
Rotor Position ◽  
The Third ◽  
Three Phase

AbstractDue to the star connection of the windings, the impact of the third harmonic which does not exist in three-phase permanent magnet synchronous motor (PMSM) cannot be ignored in five-phase PMSM. So the conventional sensorless control methods for three-phase PMSM cannot be applied for five-phase PMSM directly. To achieve the sensorless control for five-phase PMSM, an iterative sliding mode observer (ISMO) is proposed with the consideration of the third harmonic impact. First, a sliding mode observer (SMO) is designed based on the fivephase PMSM model with the third harmonic to reduce the chattering and obtain the equivalent signal of the back electromotive force (EMF). Then, an adaptive back EMF observer is built to estimate the motor speed and rotor position, which eliminates the low-pass filter and phase compensation module and improves the estimation accuracy. Meanwhile, by iteratively using the SMO in one current sampling period to adjust the sliding mode gains, the sliding mode chattering and estimation errors of motor speed and rotor position are further reduced. Besides, the stability of the SMO and the adaptive back EMF observer are demonstrated in detail by Lyapunov stability criteria. Experiment results verify the effectiveness of the proposed observer for sensorless control of five-phase PMSM.

scholarly journals An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6047
Author(s):  
Yujiao Zhao ◽  
Haisheng Yu ◽  
Shixian Wang
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Sliding Mode ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
High Order ◽  
Sliding Mode Observer ◽  
Estimation Accuracy ◽  
Permanent Magnet Synchronous Motors ◽  
Rotor Position

This article presents an improved super-twisting high-order sliding mode observer for permanent magnet synchronous motors to achieve high-performance sensorless control. The proposed observer is able to simultaneously estimate rotor position and speed, as well as track parameter disturbances online. Then, according to the back-EMF model, the sensorless observer is further constructed to improve the estimation effect. The estimated rotor position and speed are used to replace the actual values detected by the sensor, and the estimated parameter disturbances are considered as feedback values to compensate the command voltage. In this way, not only is the estimation accuracy improved, but the robustness against uncertainties is also enhanced. Simulation and experimental results show that the proposed observer can effectively track the rotor position and speed and obtain good dynamic and steady-state performance.

scholarly journals Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3116 ◽  
Author(s):  
Jianfei Zhao ◽  
Minqi Hua ◽  
Tingzhang Liu
Keyword(s):  
Control System ◽  
Vector Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Sliding Mode ◽  
Mode Conversion ◽  
Permanent Magnet Synchronous Motor ◽  
Collaborative Optimization ◽  
Axial Flux ◽  
Vector Control System

In this paper, a sliding mode vector control system based on collaborative optimization of an axial flux permanent magnet synchronous motor (AFPMSM) for an electric vehicle is proposed. In order to increase the high efficiency range of electric vehicles and improve the cruising range, a collaborative optimization control strategy is firstly proposed. Due to the use of a dual stator-single rotor AFPMSM, the multi-motor efficiency optimization map and torque cooperative control are used to realize the working mode conversion of single stator and double stator, and the torque ripple caused by the working mode conversion is improved by fuzzy control. In order to improve the torque tracking capability, speed limiting characteristics, and operating characteristics, a speed limit and current vector control strategy based on a sliding mode controller is proposed and studied. The dynamic performance of electric vehicles is improved by a sliding mode vector control. Finally, a drive control system was developed for the proposed control strategy, and the complete vehicle test was carried out. The collaborative optimization control experiment and torque tracking and speed limiting experiments verify the correctness and effectiveness of the proposed control strategy. The acceleration performance and endurance experiments show that the proposed control strategy can effectively improve the cruising range and the acceleration performance of electric vehicles.

scholarly journals Model-Free Hybrid Control with Intelligent Proportional Integral and Super-Twisting Sliding Mode Control of PMSM Drives

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1427
Author(s):  
Peng Gao ◽  
Guangming Zhang ◽  
Xiaodong Lv
Keyword(s):  
Sliding Mode Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Static Characteristic ◽  
Local Model ◽  
Motor Speed ◽  
Proportional Integral ◽  
Mode Control ◽  
Model Free

In this research, based on the ultra-local model, a novel compound model-free control strategy with an intelligent Proportional-Integral and super-twisting Sliding Mode Control (MFiPISTSMC) strategy for permanent magnet synchronous motor (PMSM) drives is proposed. Firstly, an intelligent Proportional-Integral (iPI) control strategy is designed for motor speed regulation. Secondly, a super-twisting Sliding Mode Control (STSMC) strategy is constructed based on the ultra-local model of PMSM. At the same time, the unknown term of the ultra-local model of PMSM is estimated by a Linear Extended State Observer (LESO). The stability of the compound MFiPISTSMC strategy is proved by the Lyapunov stability theorem. As a result of the compound MFiPISTSMC strategy integrating the STSMC strategy, the iPI control strategy and the LESO is proposed to have excellent performance. Finally, the static characteristic, dynamic characteristic and robustness of the novel compound MFiPISTSMC strategy are verified by simulation and experimental results.

scholarly journals A novel MTPA and flux weakening method of stator flux oriented control of PMSM

2021 ◽  
Author(s):  
Yuliang Wen ◽  
Hanfeng Zheng ◽  
Fang Yang ◽  
Xiaofan Zeng
Keyword(s):  
Control Strategy ◽  
High Efficiency ◽  
Control Method ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Speed Range ◽  
Low Torque ◽  
Maximum Torque Per Ampere ◽  
Flux Weakening

Abstract Permanent magnet synchronous motor (PMSM) has the advantages of high efficiency, high power density and high reliability. It has been widely used in electric vehicles, rail transit, industrial transmission and other fields. Compared with the traditional PMSM control strategy, the Indirect stator-quantities control (ISC) of low torque ripple induction motor has high dynamic response performance in the whole speed range, with high stability and strong security. However, due to the inherent characteristics of PMSM, there are still some difficulties in applying ISC strategy, such as solving the load angle corresponding to the current torque, realizing the maximum torque per ampere (MTPA) control and flux weakening control method in the stator field oriented control algorithm of PMSM. In this paper, theoretical analysis and discussion are carried out for the above difficulties, and an indirect stator vector control (ISC) method for PMSM is proposed. Finally, combined with the electric drive application platform of electric vehicle, the simulation and experimental results verify that the proposed ISC control strategy of PMSM also has good dynamic and steady-state performance in the whole speed range.

Sensor-based and Sensorless Vector Control of Permanent Magnet Synchronous Motor Drives: A Comparative Study

2020 ◽  
Vol 13 (2) ◽  
pp. 276-284
Author(s):  
Shweta Singh ◽  
Amar N. Tiwari ◽  
Sri N. Singh
Keyword(s):  
Vector Control ◽  
Permanent Magnet ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Position Estimation ◽  
Estimation Accuracy ◽  
Parameter Mismatch ◽  
Rotor Position ◽  
Control Scheme

Background: Speed and rotor position estimation is mandatory for vector control scheme of Permanent Magnet Synchronous Motor (PMSM). Methods: The estimation accuracy of Non-adaptive (Open loop) methods degrades as mechanical speed reduces. The system becomes more robust against parameter mismatch and signal noises by employing adaptive observers for estimation of speed and position. Sensorless scheme adopted for estimating the PMSM rotor position based on its performance which eliminates the need for speed sensors which are usually required in such control applications. Results: To achieve this goal, a Space Vector Pulse Width Modulation (SVPWM) control scheme is applied to work in conjunction with a vector control PMSM drive using Simulink. The PI controller uses from estimated speed feedback for the speed sensorless control of PMSM. Conclusion: In this paper, a comprehensive analysis of sensor-based and sensorless based on Sliding Mode Observer (SMO) techniques for vector control of PMSM is presented with regards to the steadystate and dynamic performance robustness against parameter sensitivity, stability and computational complexity. The control scheme is simulated in the MATLAB/Simulink software environment.

scholarly journals Fault-Tolerant Control Strategy for 12-Phase Permanent Magnet Synchronous Motor

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3462 ◽  
Author(s):  
Hanying Gao ◽  
Wen Zhang ◽  
Yu Wang ◽  
Zhuo Chen
Keyword(s):  
Permanent Magnet ◽  
Control Strategy ◽  
Fault Tolerant ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Fault Tolerant Control ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Open Circuit ◽  
Magnetomotive Force

Multi-phase motors have attracted increasing attention in fields seeking high reliability, such as electric vehicles, ships, and rail transit, as they exhibit advantages, such as high reliability and fault tolerance. In this study, we consider a 12-phase permanent magnet synchronous motor (PMSM). First, a mathematical model of the 12-phase PMSM in the static coordinate system is established and the model is simplified according to the constraint condition of neutral point isolation. Second, according to the principle of invariant magnetomotive force under normal and fault conditions, two optimal control strategies of winding current, i.e. maximum torque output (MTO) and minimum copper consumption (MCC), are proposed. For a single-phase open-circuit fault, two optimization methods are used to reconstruct the residual phase current, such that the motor can maintain normal torque output and exhibit lower torque ripple under the fault state. Finally, system simulation and experimental research are conducted; the results verify the accuracy and feasibility of the fault-tolerant control strategy of the 12-phase PMSM proposed in this paper.

Improved ANFIS based MRAC observer for sensorless control of PMSM

2021 ◽  
pp. 1-13
Author(s):  
Suryakant ◽  
Mini Sreejeth ◽  
Madhusudan Singh
Keyword(s):  
Fuzzy Inference ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Control ◽  
Control Algorithms ◽  
Motor Speed ◽  
Inference System ◽  
Rotor Position ◽  
Improved Performance ◽  
Incremental Encoder ◽  
Model Reference Adaptive

Detection of the rotor position is an important prerequisite for controlling the speed and developed torque in permanent magnet synchronous motor (PMSM). Even though use of incremental encoder and resolver is one of the popular schemes for sensing the rotor position in a PMSM drive, it increases the size and weight of the drive and reduces its reliability. Dynamic modeling of the motor and control algorithms are often used in sensor-less control of PMSM to estimate rotor position and motor speed. Most sensor-less control algorithms use machine parameters like torque constant, stator inductances and stator resistance for estimating the rotor position and speed. However, with accuracy of such estimation and the performance of the motor degrades with variation in motor parameters. Model reference adaptive control (MRAC) provides a simple solution to this issue. An improved Adaptive neuro-fuzzy inference system (ANFIS) based MRAC observer for speed control of PMSM drive is presented in this paper. In the proposed method adaptive model and adaptive mechanism are replaced by an improved ANFIS controller, which neutralize the effect of parametric variation and results in improved performance of the drive. The modeling equations of PMSM are used to estimate the rotor position for speed and torque control of the drive. Simulation studies have been carried out under various operating condition using MATLAB/Simulink. In addition, a comparative analysis of the conventional MRAC based observer and improved ANFIS based MRAC observer is carried out. It is observed that the proposed method results in better performance of the PMSM drive.

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