Finite Control Set Model Predictive Control with Pulse Width Modulation for Torque Control of EV Induction Motors

Recently, the control of multiphase electric drives has been a hot research topic due to the advantages of multiphase machines, namely the reduced phase ratings, improved fault tolerance and lesser torque harmonics. Finite control set model predictive control (FCS-MPC) is one of the most promising high performance control strategies due to its good dynamic behaviour and flexibility in the definition of control objectives. Although several FCS-MPC strategies have already been proposed for multiphase drives, a comparative study that assembles all these strategies in a single reference is still missing. Hence, this paper aims to provide an overview and a critical comparison of all available FCS-MPC techniques for electric drives based on six-phase machines, focusing mainly on predictive current control (PCC) and predictive torque control (PTC) strategies. The performance of an asymmetrical six-phase permanent magnet synchronous machine is compared side-by-side for a total of thirteen PCC and five PTC strategies, with the aid of simulation and experimental results. Finally, in order to determine the best and the worst performing control strategies, each strategy is evaluated according to distinct features, such as ease of implementation, minimization of current harmonics, tuning requirements, computational burden, among others.

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Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Energies ◽

10.3390/en13010234 ◽

2020 ◽

Vol 13 (1) ◽

pp. 234 ◽

Cited By ~ 5

Author(s):

GuangQing Bao ◽

WuGang Qi ◽

Ting He

Keyword(s):

Model Predictive Control ◽

Cost Function ◽

Predictive Control ◽

Direct Torque Control ◽

Torque Ripple ◽

Torque Control ◽

Voltage Vector ◽

Finite Control ◽

Finite Set ◽

Control Set

A direct torque control (DTC) with a modified finite set model predictive strategy is proposed in this paper. The eight voltage space vectors of two-level inverters are taken as the finite control set and applied to the model predictive direct torque control of a permanent magnet synchronous motor (PMSM). The duty cycle of each voltage vector in the finite set can be estimated by a cost function, which is designed based on factors including the torque error, maximum torque per ampere (MTPA), and stator current constraints. Lyapunov control theory is introduced in the determination of the weight coefficients of the cost function to guarantee stability, and thus the optimal voltage vector reference value of the inverter is obtained. Compared with the conventional finite control set model predictive control (FCS-MPC) method, the torque ripple is reduced and the robustness of the system is clearly improved. Finally, the simulation and experimental results verify the effectiveness of the proposed control scheme.

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An Electric Spring Control Strategy Based on Finite Control Set-Model Predictive Control

Journal Européen des Systèmes Automatisés ◽

10.18280/jesa.530403 ◽

2020 ◽

Vol 53 (4) ◽

pp. 461-468

Author(s):

Tao Zhang ◽

Qiang Hao ◽

Zheng Zheng ◽

Chuang Lu

Keyword(s):

Control System ◽

Model Predictive Control ◽

Predictive Control ◽

Pulse Width Modulation ◽

Control Device ◽

Renewable Energy Resources ◽

Nonlinear Loads ◽

Finite Control ◽

Static Performance ◽

Control Set

As a novel voltage control device, electric spring (ES) can effectively suppress the voltage fluctuations across critical loads (CLs), and solve the various problems with electrical quality induced by the grid access of renewable energy resources (RES). However, the traditional controllers for the ES system can no longer meet the control requirements, as the environment is complicated by the growing number of load-side nonlinear loads and uncertain disturbances. To solve the problem, this paper proposes a control system based on finite control set-model predictive control (FCS-MPC), and applies it to the ES. Firstly, a load-side circuit prediction model was established and analyzed. Next, a control system was designed based on FCS-MPC. Finally, the proposed system was proved feasible and effective through MATLAB/Simulink simulation and dSPACE physical experiment. The results show that the proposed FCS-MPC system can directly control the ES, easily handle system constraints, achieve robust dynamic and static performance, eliminating the need for pulse width modulation (PWM).

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