2021
DOI: 10.1109/tpel.2020.3011827
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Predictive Torque and Stator Flux Control for N*3-Phase PMSM Drives With Parameter Robustness Improvement

Abstract: In this study, a novel predictive torque and stator flux control (PTSF) method is proposed for Nsegment three-phase PMSM (N*3-phase PMSM), which can effectively eliminate the influence of parameter mismatch on stator flux and torque. The proposed PTSF method has two loops, stator flux loop and torque loop, both implemented with robust predictive control algorithm. First, the stator flux predictive controller with parameter robustness is designed, and the sensitivity of its parameters is analyzed. In the dq sta… Show more

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Cited by 15 publications
(4 citation statements)
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“…Considering the motor parameter perturbations, such as resistance variation, inductance variation [31], PM demagnetization fault, the state equation of SPMSM in the d-q reference frame is expressed as…”
Section: A Mathematical Model Of Pmsm With Parameter Perturbationsmentioning
confidence: 99%
“…Considering the motor parameter perturbations, such as resistance variation, inductance variation [31], PM demagnetization fault, the state equation of SPMSM in the d-q reference frame is expressed as…”
Section: A Mathematical Model Of Pmsm With Parameter Perturbationsmentioning
confidence: 99%
“…Reference [147] designed a discrete integral controller by predicting the current error to obtain the inductance information and replace the inaccurate flux linkage parameters, which improved the robustness of MPC while removing the current error under the parameter mismatch. For the robust control of predictive torque flux control, references [148,149] successively proposed a flux torque predictive controller with parameter robustness to obtain accurate predictive values and improve the control performance of the algorithm. Based on the problems of parameter mismatch, digital delay, and external interference, a predictive current control strategy based on an enhanced extended state observer was proposed in [150].…”
Section: Robust Control Strategymentioning
confidence: 99%
“…MPC relies on precise mathematical models, and once the model mismatch is caused by changes in motor parameters, significant static errors and current oscillations will occur, resulting in unsatisfactory output torque etc. [14]. Domestic and foreign scholars have conducted a series of studies to address the problem of motor parameters mismatch leading to the degradation of control system performance [15][16][17][18][19][20][21][22], such as disturbance observer design [15], online parameter identification [16], robust algorithm research [17], and model-free control [18][19][20].…”
Section: Introductionmentioning
confidence: 99%