scholarly journals Fuzzy Adaptive Repetitive Control for Periodic Disturbance with Its Application to High Performance Permanent Magnet Synchronous Motor Speed Servo Systems

Entropy ◽  
2016 ◽  
Vol 18 (9) ◽  
pp. 261 ◽  
Author(s):  
Junxiao Wang
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Repetitive Control ◽  
Synchronous Motor ◽  
Motor Speed ◽  
Servo Systems ◽  
Periodic Disturbance ◽  
Fuzzy Adaptive

Sensorless Grey Prediction Fuzzy Direct Torque Control for High-Speed Permanent Magnet Synchronous Motor

2012 ◽  
Vol 220-223 ◽  
pp. 1040-1043
Author(s):  
Hong Cui ◽  
You Qing Gao
Keyword(s):  
Permanent Magnet ◽  
High Speed ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Adjustment Process ◽  
Grey Prediction ◽  
The Stability

High-speed permanent magnet synchronous motor (PMSM) is more and more widely applied in high precision processing and high-performance machines. It is very important to research practical control strategy for the stability operation of the high-speed PMSM. The strategy of sensorless grey prediction fuzzy direct torque control (DTC) is proposed which is suitable for high-speed PMSM control system. The method of prediction fuzzy control based on DTC is used to gain the flux, torque and flux oriented angle through the prediction model of the motor parameters. The best control scheme is gained by fuzzy reasoning to overcome the lag on the system making the adjustment process stable and realizing accurate predictive control. Thereby, the dynamic response of the system, anti-disturbance capability and control accuracy can be improved.

scholarly journals Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation

2018 ◽  
Vol 3 (3) ◽  
pp. 133-142
Author(s):  
Abderrahmen KIRAD ◽  
Said Grouni ◽  
Omar MECHALI
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Backstepping Control ◽  
Position Estimation ◽  
Nonlinear Feedback ◽  
Precise Knowledge ◽  
The Stability ◽  
Nonlinear Backstepping Control

This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.

scholarly journals Speed Control of Permanent Magnet Synchronous Motor Drive Using an Inverter

2013 ◽  
pp. 224-230
Author(s):  
Rahul Singh ◽  
Vinit Chandray Roy ◽  
C.K. Dwivedi
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Load Condition ◽  
Synchronous Motor ◽  
Motor Drive ◽  
Constant Frequency ◽  
Torque Response ◽  
Conducting Materials ◽  
New Applications

Permanent Magnet Synchronous Motor are used in many applications that require rapid torque response and high – performance operation. New developed materials such as magnetic materials, conducting materials and insulating materials as well as several new applications have greatly contributed to the development of small and special purpose machines. Using such materials the size of the motor would considerably reduce and high performance motors can be built. Due to several new applications these motors are quite popular in a developing country such as India. The speed of a permanent magnet synchronous motor is varied by varying the frequency of an inverter. The performance of the motor is experimentally verified and the results are found to be encouraging. It is also observed that, under varying load condition, the speed of a motor remains constant at constant frequency.

scholarly journals Estimation of Rotor Temperature of Permanent Magnet Synchronous Motor Based on Model Reference Fuzzy Adaptive Control

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Hongchang Ding ◽  
Xiaobin Gong ◽  
Yuchun Gong
Keyword(s):  
Adaptive Control ◽  
Permanent Magnet ◽  
Permanent Magnets ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Synchronous Motor ◽  
Flux Linkage ◽  
Fuzzy Adaptive Control ◽  
Model Reference ◽  
Fuzzy Adaptive

For high-speed permanent magnet synchronous motor (PMSM), its efficiency is significantly affected by the performance of permanent magnets (PMs), and the phenomenon of demagnetization will occur with the increase of PM temperature. So, the temperature detection of PMs in rotor is very necessary for the safe operation of PMSM, and direct detection is difficult due to the rotation of rotor. Based on the relationship between permanent magnet flux linkage and its temperature, in this paper, a new temperature estimation method using model reference fuzzy adaptive control (MRFAC) is proposed to estimate PM temperature. In this method, the model reference adaptive system (MRAS) is built to estimate the permanent magnet flux linkage, and the fuzzy control method is introduced into MRAS, which is used to improve the accuracy and applicable speed range of parameters estimated by MRAS. Different permanent magnet flux linkages are estimated in MRFAC based on the variation of stator resistance, which corresponds to different working temperatures measured by thermal resistance, and the PM temperature will be obtained according to the estimated permanent magnet flux linkage. At last, the back electromotive force (BEMF) is measured on the experimental motor, and the flux linkage and PM temperature of the experimental motor are deduced according to the BEMF. Compared with the experimental results, the estimated PM temperature is very close to the actual test value, and the error is less than 5%, which verifies that the proposed method is suitable for the estimation of PM temperature.

Sign in / Sign up

Export Citation Format

Share Document