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

Abstract

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.

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

“…The FSMPC approaches are commonly categorized into current predictive control (CPC), torque predictive control (TPC), and speed predictive control (SPC) [18]. In CPC schemes, the stator currents are considered the controlled variables, whereas the torque and flux are used as the controlled variables in TPC schemes [19]. The SPC strategy removes the outer PI speed controller in CPC and TPC schemes, however tuning of numerous weighting factors is essential [19].…”

“…In CPC schemes, the stator currents are considered the controlled variables, whereas the torque and flux are used as the controlled variables in TPC schemes [19]. The SPC strategy removes the outer PI speed controller in CPC and TPC schemes, however tuning of numerous weighting factors is essential [19]. Due to the curbs of SPC strategies, applications of both CPC and TPC schemes are more prevalent for electric drives.…”

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

“…The optimization problem is solved on the basis of the specified cost function in order to determine the best sequence of the control signal. Different MPC concepts can be found in the literature [5,[9][10][11][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. The algorithm can be divided, taking into account the prediction horizon length.…”

“…This allows to minimize the complexity of the calculations in the algorithm, yet at the same time the dynamics of the plant could be worse, especially in the presence of the constraints. However, according to the review of the literature, this approach is commonly used in the domain of power electronics and drive control, particularly of current and torque control [5,[8][9][10][11][12]18,23,[28][29][30][31][32][33][34][36][37][38][39][40][41].…”

Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection

“…Fault-detection and tolerant operation of modular multilevel converters (MMC) are investigated in [1,2], where the latter deals with the insulated gate bipolar transistor (IGBT) open circuit fault. Fault diagnosis techniques related to machines are more diverse, where synchronous generators (SG) [3], permanent magnet (PM) machines [4][5][6], multi-phase machines [5,7,8], and induction motors (IM) [9][10][11] are involved, and winding short circuit fault [4,5], rotor broken bar fault [12,13], and eccentric and bearing faults [13] are discussed.…”