Finite-Control Set Model Predictive Control Method for Torque Control of Induction Motors Using a State Tracking Cost Index

2017 ◽  
Vol 64 (3) ◽  
pp. 1916-1928 ◽  
Author(s):  
Abdelsalam A. Ahmed ◽  
Byung Kwon Koh ◽  
Hyo Sung Park ◽  
Kyo-Beum Lee ◽  
Young Il Lee
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Induction Motors ◽  
Control Method ◽  
Torque Control ◽  
Cost Index ◽  
Finite Control ◽  
Control Set ◽  
State Tracking

scholarly journals A Simplified Finite Control Set Model Predictive Control for T-Type Three-Level Power Conversion System Based on LCL Filter

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ning Gao ◽  
Huaiyu Fan ◽  
Weimin Wu
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Power Conversion ◽  
Lcl Filter ◽  
Potential Control ◽  
Conversion System ◽  
Finite Control ◽  
Control Set ◽  
Battery Energy

Finite control set model predictive control (FCSMPC) is a highly attractive and potential control method for grid-tied converters. However, there are several challenges when employing FCSMPC in an LCL filter-based T-type three-level power conversion system (PCS) for battery energy storage applications. These challenges mainly include the increasing complexity of control algorithm and excessive cost of additional sensors, which deteriorate the performance of PCS and limit the application of FCSMPC. In order to overcome these issues, this paper proposes a simplified FCSMPC algorithm to reduce the computation complexity. Furthermore, full-dimensional state observers are adopted and implemented to estimate the instantaneous values of grid-side current and capacitor voltage for purpose of removing unnecessary electrical sensors. The implementation of proposed FCSMPC algorithm is described step by step in detail. Simulation results are provided as a verification for the correctness of theoretical analysis. Finally, a three-phase T-type three-level PCS prototype rated at 2.30 kVA/110 V is built up. Experimental results extracted from the prototype can verify the effectiveness of the proposed control strategy.

scholarly journals Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4693 ◽  
Author(s):  
Pedro Gonçalves ◽  
Sérgio Cruz ◽  
André Mendes
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Performance ◽  
Control Strategies ◽  
Current Control ◽  
Torque Control ◽  
Current Harmonics ◽  
Electric Drives ◽  
Finite Control ◽  
Control Set

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.

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

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 234 ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document