scholarly journals High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

2021 ◽  
Vol 23 (4) ◽  
pp. 301-310
Author(s):  
Imene Djelamda ◽  
Ilhem Bouchareb ◽  
Abdesselam Lebaroud
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicles ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Research Work ◽  
Synchronous Motor ◽  
Pi Controller ◽  
Control Law ◽  
Control Approach ◽  
Fuzzy Pi Controller

This work presents a field oriented control (FOC) strategy (Fuzzy Logic (FL)) associated with PI controller applied to the control system of an permanent magnet synchronous motor (PMSM) powered by an inverter dedicated to electric vehicles, the major challenge of our research work is a control law for a permanent magnet synchronous motor more efficient in terms of rejection of disturbances; stability and robustness with respect to parametric uncertainties, A comparison of the performance of the proposed FOC with the FOC with the fuzzy-PI will be presented. The overall development scheme is summarized and an example illustrates features of the control approach performed on a 0.5 kW PMSM drive. The torque and the speed will be judged and compared for the two orders offered. As results, the behavior of the FOC based on fuzzy-PI controller is more efficient compared to the conventional vector control.

scholarly journals Stabilization and Speed Control of a Permanent Magnet Synchronous Motor with Dual-Rotating Rotors

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2786 ◽  
Author(s):  
Yichang Zhong ◽  
Shoudao Huang ◽  
Derong Luo
Keyword(s):  
Permanent Magnet ◽  
Control Strategy ◽  
High Performance ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Coupled System ◽  
Synchronous Motor ◽  
Pi Controller ◽  
Proportional Integral

The permanent magnet synchronous motor (PMSM) with dual-rotating rotors is a typical nonlinear multi-variable coupled system. It is sensitive to load disturbances and the change of interior parameters. The traditional proportional-integral (PI) controller is widely used in the speed control of a motor because of its simplicity; however, it cannot meet the requirements needed for high performance. In addition, when the loads of both of the rotors change, it is difficult to ensure that the system runs stably. With an aim to mitigate these problems, a method called master-slave motor control is proposed to guarantee the stability of the motor system in all cases. And then, a speed controller is designed to eliminate the influence of uncertain terms. The proposed control strategy is implemented both in simulations and in experiments. Through the analysis and comparison of the proportional-integral (PI) controller and the sliding-mode controller, the effectiveness of the proposed control strategy is validated.

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.

Sign in / Sign up

Export Citation Format

Share Document