Speed control of asynchronous motor based on improved deadbeat predictive algorithm

In this article, the three-phase asynchronous motor is taken as the research object, and the deadbeat predictive control is the control core, and its control performance is studied. Considering the overshoot of flux linkage and speed response in deadbeat predictive control, an improved deadbeat predictive control algorithm based on synergy theory is proposed. Different from deadbeat predictive control, improved deadbeat predictive control can control the flux linkage and speed independently through two adjustment parameters, which are achieved through the manifold of synergy theory. To accurately obtain the feedback flux linkage and load torque in the control, a flux observer and a load torque observer are designed. Based on these, a simulation platform is built, and the control performance of the two control algorithms is compared. The robustness of the two control algorithms is further verified by changing parameters. Finally, the experimental platform of three-phase asynchronous motor is built in this article. The experimental program based on deadbeat predictive control is designed. The no-load experiment and loading experiment are carried out, respectively. The feasibility of the algorithm is verified by experimental data.

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Direct Torque Control for Induction Motor Drive with Reduced Torque and Flux Ripples

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f1018.0386s20 ◽

2020 ◽

Vol 8 (6S) ◽

pp. 101-106

Keyword(s):

Induction Motor ◽

Control Method ◽

Asynchronous Motor ◽

Direct Torque Control ◽

Torque Control ◽

Control Algorithms ◽

Induction Motor Drive ◽

Ac Motor ◽

Three Phase ◽

Hysteresis Controller

The most universally used electric motor is an induction motor fed with three phase supply and eighty percent of mechanical power utilized by industries is given by three phase asynchronous ac motor. Direct torque control method is one such technique for controlling flux and torque of an asynchronous motor fed with PWM VSI. Without any complex control algorithms, it provides easy commands for the control of induction motor flux as well as torque. We are demonstrating the principle of DTC of an asynchromous motor using three level hysteresis controller in this paper. Philosophy of DTC with aforementioned control method has been simulated using MATLAB/Simulink.

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Simulation of Three-Phase Motor Rotor Flux Oriented Control System Based on SVPWM

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.345.89 ◽

2013 ◽

Vol 345 ◽

pp. 89-93

Author(s):

Ying Zhan Hu ◽

Shuo Feng

Keyword(s):

Pulse Width Modulation ◽

Asynchronous Motor ◽

Control Performance ◽

Excitation Current ◽

Voltage Space Vector ◽

Stator Current ◽

Voltage Vector ◽

Three Phase ◽

Rotor Flux ◽

Application Requirements

In order to improve the control result of three-phase motor with power supplied by battery, it uses voltage vector control technology to control the three-phase motor excitation current and the torque current respectively. At the same time, according to the principle of rotor flux oriented, it get the aim of measuring and controlling the vector of three-phase motor stator current. The research on the way of achieving the algorithm of the voltage space vector pulse width modulation is detailed introduced. By building the simulating model of three-phase asynchronous motor, it simulates the algorithm. As a result, it shows that the algorithm is reasonable, the control performance is better and application requirements of control for three-phase asynchronous motor with power supplied by battery is satisfied.

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Finite set model predictive control to a shunt multilevel active filter

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-03-2013-0087 ◽

2015 ◽

Vol 34 (1) ◽

pp. 279-300 ◽

Cited By ~ 2

Author(s):

Hernaldo Saldías Molina ◽

Juan Dixon Rojas ◽

Luis Morán Tamayo

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Single Phase ◽

Content Type ◽

Predictive Algorithm ◽

Three Phase ◽

Finite Set ◽

Predictive Controller ◽

Floating Capacitor ◽

Charge Discharge

Purpose – The purpose of this paper is to implement a finite set model predictive control algorithm to a shunt (or parallel), multilevel (cascaded H-bridge) active power filter (APF). Specifically, the purpose is to get a controller that could compensate the mains current and, at the same time, to control the voltages of its capacitors. This strategy avoids the use of multiple PWM carriers or another type of special modulator, and requires a relatively low processing power. Design/methodology/approach – This paper is focussed in the application of the predictive controller to a single-phase parallel APF composed for two H-bridges connected in series. The same methodology can be applied to a three-phase APF. In the DC buses of each H-bridge, a floating capacitor was connected, whose voltage is regulated by the predictive controller. The controller is composed by, first, a model for the charge/discharge dynamics for each floating capacitor and a model for the output current of the APF; second, a cost function; and third, an optimization algorithm that is able to control all these variables at the same time, choosing in each sample period the best combination of firing pulses. Findings – The controller can track the voltage references, compensate the current harmonics and compensate reactive power with an algorithm that evaluates only the three nearest voltage levels to the last voltage level applied in the inverter. This strategy decreases the number of calculations required by the predictive algorithm. This controller can be applied to the general case of a single-phase multilevel APF of N-levels and extend it to the three-phase case without major problems. Research limitations/implications – The implemented controller, when the authors consider a constant sample time, gives a mains current with a Total Harmonic Distortion (THD-I) slightly greater in comparison with the base algorithm (that evaluates all the voltage levels). However, when the authors consider the processing times under the same processor, the implemented algorithm requires less time to get the optimal values, can get lower sampling times and then a best performance in terms of THD-I. To implement the controller in a three-phase APF, a faster Digital Signal Processor would be required. Originality/value – The implemented solution uses a model for the charge/discharge of the capacitors and for the filter current that enable to operate the cascaded multilevel inverter with asymmetrical voltages while compensates the mains currents, with a predictive algorithm that requires a relatively low amount of calculations.

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Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

Energies ◽

10.3390/en14217292 ◽

2021 ◽

Vol 14 (21) ◽

pp. 7292

Author(s):

Tianjiao Luan ◽

Zhichao Wang ◽

Yang Long ◽

Zhen Zhang ◽

Qi Li ◽

...

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Current Control ◽

Vector Model ◽

Permanent Magnet Synchronous Machine ◽

Control Performance ◽

Voltage Vector ◽

Three Phase ◽

Tracking Ability ◽

Zero Vector

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

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