scholarly journals Direct Predictive Speed Control of Salient PMSM Drives in Constant Torque and Constant Power Regimes for Electric Vehicles Applications

2020 ◽  
Vol 39 (2) ◽  
pp. 127-143
Author(s):  
Francis Mwasilu

A direct speed control of salient permanent magnet synchronous motor (PMSM) drives in constant torque and constant power regimes for electric vehicles applications is presented. The proposed speed control scheme is derived from model predictive control approach where both rotor speed and stator current are formulated in a single objective function that is periodically computed to attain the PMSM drive optimum switching states. The dynamic model of the PMSM intrinsically encompasses the unknown disturbance, which should be rejected for high-performance speed control especially in transient conditions. Consequently, the extended modified augmented state Kalman filter (ASKF) is incorporated in the proposed scheme to enhance the transient performance of the salient PMSM drive. Finally, the proposed speed control strategy reveals a fast-transient speed response when compared to the conventional dual current loop PI-based speed controller over extended speed range and load torque variations. The computer simulation conducted using MATLAB/Simulink and experimental results obtained using PMSM laboratory prototype are presented considering constant torque and constant power regions to confirm the efficacy of the proposed speed control strategy.

2021 ◽  
Vol 23 (4) ◽  
pp. 301-310
Author(s):  
Imene Djelamda ◽  
Ilhem Bouchareb ◽  
Abdesselam Lebaroud

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.


2020 ◽  
Vol 11 (2) ◽  
pp. 42
Author(s):  
Nadia A. Elsonbaty ◽  
Mohamed A. Enany ◽  
Mahmoud I. Hassanin

In this paper, a new control strategy for hybrid excited salient permanent-magnet synchronous motor (HEPMSM) is proposed, where both armature winding and DC field windings are located in the stator. The developed control strategy fulfills the required characteristics of the electric vehicles (EVs) and hybrid electric vehicles (HEVs) motors. A detailed mathematical model of the HEPMSM is presented. The field current (FC) is kept constant near its rated value for the high acceleration constant torque (CT) region. The conventional control usable method of reducing FC and reversing it on the motor performance characteristics through the constant power (CP) region is examined and evaluated. A proposed FC pattern is applied to three deferent operating modes of EV. High acceleration and wide stable constant power speed range without overdesign is the main target of this work. Based on the deduced optimum control pattern, the required EV-HEPMSM performance characteristics are developed. The required d–q control armature, field currents as well as d–q stator voltage components are provided for either current or voltage control technique availabilities. Simulation work is carried out on the commonly used method and on the proposed method. The obtained simulated characteristics effectively validate the target of the proposed steady-state presented analysis and pattern.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2786 ◽  
Author(s):  
Yichang Zhong ◽  
Shoudao Huang ◽  
Derong Luo

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.


2014 ◽  
Vol 635-637 ◽  
pp. 1241-1245
Author(s):  
Li Lin ◽  
Hong Zhi Cui ◽  
Hu Zhu

In order to test the efficiency of motor control strategy, we developed a platform based on DSP2812,named permanent magnet synchronous motor control system which used in vehicle. The algorithm of vector control system is proved effective to modify parameters and debug. And the researches provide the experiment basis of motor control strategy study.


Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3116 ◽  
Author(s):  
Jianfei Zhao ◽  
Minqi Hua ◽  
Tingzhang Liu

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.


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