scholarly journals Continuous Control Set Predictive Current Control for Induction Machine

2021 ◽  
Vol 11 (13) ◽  
pp. 6230
Author(s):  
Toni Varga ◽  
Tin Benšić ◽  
Vedrana Jerković Štil ◽  
Marinko Barukčić
Keyword(s):  
Control Method ◽  
Induction Machine ◽  
Current Control ◽  
Continuous Control ◽  
Loop Model ◽  
Voltage Reference ◽  
Control Loop ◽  
Speed Tracking ◽  
Finite Control ◽  
Control Set

A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors is utilized for the inner control loop, which generates a continuous set of voltage reference values that can be modulated and applied by the inverter to the induction machine. Interesting parallels are drawn between the developed method and state feedback principles that helped with the analysis of the stability and controllability. Simple speed and rotor flux estimator is implemented that helps achieve sensorless control. Simulation is conducted and the method shows great performance for speed tracking in a steady state, and during transients as well. Additionally, compared to the finite control set predictive current control, it shows less harmonic content in the generated torque on the rotor shaft.

scholarly journals An Improved Finite-Control-Set Model Predictive Current Control for IPMSM under Model Parameter Mismatches

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6342
Author(s):  
Zehao Lyu ◽  
Xiang Wu ◽  
Jie Gao ◽  
Guojun Tan
Keyword(s):  
Control Method ◽  
Current Control ◽  
Parameter Mismatch ◽  
Robust Model ◽  
Control Robustness ◽  
Interior Permanent Magnet ◽  
Finite Control ◽  
Control Set ◽  
The Cost ◽  
The Mathematical Model

The control performance of the finite control set model predictive current control (FCS-MPCC) for the interior permanent magnet synchronous machine (IPMSM) depends on the accuracy of the mathematical model. A novel robust model predictive current control method based on error compensation is proposed in order to reduce the parameter sensitivity and improve the current control robustness. In this method, the equivalent parameters are obtained from the known voltage and current information at the past time and the error between the predicted current and the actual current at the present time, which is utilized in the two-step prediction process to compensate the parameter mismatch error. Finally, the optimal voltage vector is selected by the cost function. The proposed method is compared with the traditional model predictive current control method through experiments. The experimental results show the effectiveness of the proposed method.

scholarly journals Finite control set model predictive direct current control strategy with constraints applying to drive three-phase induction motor

2021 ◽  
Vol 11 (4) ◽  
pp. 2916
Author(s):  
Anmar Kh. Ali ◽  
Riyadh G. Omar
Keyword(s):  
Induction Motor ◽  
Direct Current ◽  
Control Strategy ◽  
System Performance ◽  
Torque Ripple ◽  
Current Control ◽  
Three Phase ◽  
Direct Current Control ◽  
Finite Control ◽  
Control Set

In this, work the finite control set (FCS) model predictive direct current control strategy with constraints, is applied to drive three-phase induction motor (IM) using the well-known field-oriented control. As a modern algorithm approach of control, this kind of algorithm decides the suitable switching combination that brings the error between the desired command currents and the predicated currents, as low as possible, according to the process of optimization. The suggested algorithm simulates the constraints of maximum allowable current and the accepted deviation, between the desired command and actual currents. The new constraints produce an improvement in system performance, with the predefined error threshold. This can be applied by avoiding the switching combination that exceeds the limited values. The additional constraints are more suitable for loads that require minimum distortion in harmonic and offer protection from maximum allowable currents. This approach is valuable especially in electrical vehicle (EV) applications since its result offers more reliable system performance with low total harmonics distortion (THD), low motor torque ripple, and better speed tracking.

A Novel Finite-Control-Set Model Predictive Current Control for Five-Phase PM Motor With Continued Modulation

2020 ◽  
Vol 35 (7) ◽  
pp. 7261-7270 ◽  
Author(s):  
Wenxiang Zhao ◽  
Tao Tao ◽  
Jihong Zhu ◽  
Huajun Tan ◽  
Yuxuan Du
Keyword(s):  
Current Control ◽  
Finite Control ◽  
Control Set
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