Two-Step Continuous-Control Set Model Predictive Current Control Strategy for SPMSM Sensorless Drives

Author(s):  
Xin Luo ◽  
Anwen Shen ◽  
Qipeng Tang ◽  
Jiachen Liu ◽  
Jinbang Xu
2021 ◽  
Vol 11 (13) ◽  
pp. 6230
Author(s):  
Toni Varga ◽  
Tin Benšić ◽  
Vedrana Jerković Štil ◽  
Marinko Barukčić

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.


Author(s):  
Anmar Kh. Ali ◽  
Riyadh G. Omar

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.


Author(s):  
Xuedong Han ◽  
Haihua Wang ◽  
Zhen Zhang ◽  
Ying Fan ◽  
Wusen Wang

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3317 ◽  
Author(s):  
Alecksey Anuchin ◽  
Galina L. Demidova ◽  
Chen Hao ◽  
Alexandr Zharkov ◽  
Andrei Bogdanov ◽  
...  

A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter behavior, needs sufficient computation resources, thus limiting its practical implementation. The proposed model predictive control strategy utilizes offline processing of the magnetization surface of the switched reluctance motor. This helps to obtain precalculated current references for each torque command and rotor angular position in the offline mode. In online mode, the model predictive control strategy implements the current commands using the magnetization surface for fast evaluation of the required voltage command for the power converter. The proposed strategy needs only two lookup table operations requiring very small computation time, making instant execution of the whole control system possible and thereby minimizing the control delay. The proposed solution was examined using a simulation model, which showed precise and rapid torque stabilization below rated speed.


Author(s):  
Francesco Toso ◽  
Andrea Favato ◽  
Riccardo Torchio ◽  
Piergiorgio Alotto ◽  
Silverio bolognani

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4114
Author(s):  
Zhengfei Di ◽  
Demin Xu ◽  
Kehan Zhang

A continuous control set model predictive power control strategy for an indirect matrix converter is proposed in this paper. The load reactive power, the load active power, and the input reactive power are controlled simultaneously. This control strategy can obtain output waveforms with fixed switching frequency. Additionally, an optimal switching sequence is proposed to simplify the commutations of the indirect matrix converter. To suppress the input filter resonance, an active damping method is proposed. Experimental results prove that the proposed method features controllable input reactive power, controllable load active and reactive power, fixed switching frequency output waveforms, zero-current switching operations, and effectively suppresses input filter resonance.


Author(s):  
Huajun Wu ◽  
Yupeng Wang ◽  
Bo Liu ◽  
Lidong Chen ◽  
Gen Pei

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