Current Control Of A VSI-FED Induction Machine By Predictive Technique

Author(s):  
Sergiu Ivanov ◽  
Vladimir Rasvan ◽  
Eugen Bobasu ◽  
Dan Popescu ◽  
Florin Stinga
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.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3713
Author(s):  
Daniel R. Ramirez ◽  
Cristina Martin ◽  
Agnieszka Kowal G. ◽  
Manuel R. Arahal

In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current control of a five-phase induction machine (IM). The min-max operator is explored for the first time as an alternative to the traditional loss function. With this proposal, the selection of voltage vectors does not need weighting factors that are normally used within the loss function and require a cumbersome procedure to tune. In order to cope with conflicting criteria, the proposal uses a decision function that compares predicted errors in the torque producing subspace and in the x-y subspace. Simulations and experimental results are provided, showing how the proposal compares with the traditional method of fixed tuning for predictive stator current control.


2020 ◽  
Vol 16 (2) ◽  
pp. 1182-1191 ◽  
Author(s):  
Liuping Wang ◽  
Jyoti Mishra ◽  
Yuankang Zhu ◽  
Xinghuo Yu

2017 ◽  
Vol 37 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Xin Qi ◽  
Lin Wu ◽  
Xiaomin Zhou ◽  
Xianghua Ma

Purpose This study aims to drive the induction machine system with a low switching frequency. Design/methodology/approach An unconventional inverter control strategy – field-oriented predictive control (FOPC) – is presented. The strategy limits current distortion by setting a boundary circle. The voltage vector, which could keep current trajectories in boundary, is selected to obtain a low switching frequency. Findings A dual simulation step technique is developed to investigate the influence of sampling frequency on current distortion control and switching frequency. Current control distortion can be improved, i.e. reduced, by increasing the sampling frequency; however, the switching frequency will also increase. Such a law is discovered by the dual simulation step technique and finally verified by experiments. Originality/value A new predictive control method, FOPC, is derived from the rotor filed coordinate machine model and presented in this paper. FOPC circumvents derivative calculations, and thus avoids high-frequency noise amplification.


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