Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

Zafari, Y.; Mazinan, A. H.; Shoja-Majidabad, Sajjad

doi:10.1080/00051144.2018.1478928

Cited by 8 publications

(7 citation statements)

References 24 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The five-phase PMSM stator voltage equation can be expressed in a rotating d-q-x-y frame as follows [16,17]:…”

Section: Model Of Five-phase Pmsmmentioning

confidence: 99%

SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive

Mehedi¹,

Taleb²,

Djilali³

et al. 2020

IJEECS

View full text Add to dashboard Cite

<span>This article presents an improved Direct Torque Control (DTC) technique with space vector modulation (SVM) for a five-phase permanent magnet synchronous motor (PMSM) using a sliding mode speed control (SMC).The proposed control scheme of the five-phase PMSM combines the advantages of SMC control and the SVM algorithm. The SMC method insensitive to uncertainties, in particular external disturbances and parameter variations. In this paper, the SMC controller is used to control the rotor speed of the five-phase PMSM based on DTC-SVM. The rotor speed response, torque and stator flux are determined and compared with traditional control method. The simulations results confirm the validity and effectiveness of the proposed control technique in terms of performance and robustness against machine parameter variations (inertia variation). The efficiency of the proposed method applied on the five-phase PMSM is verified by the MATLAB/Simulink.</span>

show abstract

“…The five-phase PMSM stator voltage equation can be expressed in a rotating d-q-x-y frame as follows [16,17]:…”

Section: Model Of Five-phase Pmsmmentioning

confidence: 99%

SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive

Mehedi¹,

Taleb²,

Djilali³

et al. 2020

IJEECS

View full text Add to dashboard Cite

show abstract

“…DTC with neural ST minimized the torque ripples of IM compared to DTC with fuzzy PI of speed and DTC method with neural HCs [14]. Speed control of FP-PMSM through fractional integral terminal sliding mode control (FITSMC), SMC, and PI controller is presented [15]. The authors [16] propose a DTC-ANN method with ANFIS controller of speed for IM fed by 3-level NPC inverter, where a comprehensive analysis is provided.…”

Section: Introductionmentioning

confidence: 99%

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Mehedi¹,

Benbouhenni²,

Nezli³

et al. 2021

JESA

View full text Add to dashboard Cite

In this work, the direct torque control (DTC) is applied to the five-phase permanent magnet synchronous motor (FP-PMSM). The DTC method based on classical space vector pulse width modulation (SVPWM) is a common solution used to overcome traditional problems; such as stator flux ripple, electromagnetic torque ripple and gives more total harmonic distortion (THD) of the stator current. The actual paper is based on improving the performance of DTC-SVPWM by using the feedforward neural networks (FNNs) instead of the proportional-integral (PI) regulators and hysteresis comparators (HCs) of the conventional SVPWM strategy. This algorithm can solve the traditional PI regulators and HCs problems which are represented in responses dynamic and reduce the torque ripple, flux ripple, and the THD of stator current of FP-PMSM drives. The proposed strategy was tested in different tests with simulation using Matlab software.

show abstract

“…Combining fault-tolerant sliding mode controller with delta operator or fuzzy T-S model covers nonlinear systems actuator faults [28][29][30]. The TSM controllers for three-phase PMSM have been studied in [31][32][33][34][35] and recently have been used for five-phase PMSM in the normal and opened phase faulty states [36][37][38]. To the author's best knowledge, there are few researches around designing the FTC in view of TSM for five-phase IPMSM [39].…”

Section: Introductionmentioning

confidence: 99%

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Zafari

Shoja-Majidabad

2020

Automatika

Self Cite

View full text Add to dashboard Cite

The present study deals with sensorless fault-tolerant control (SFTC) of five-phase Interior Permanent Magnet Synchronous Motors (IPMSMs). First, a Proportional-Integral Model Reference Adaptive System (PI-MRAS) speed estimator is proposed. The MRAS compares outputs of reference and adaptive models. Then, PI controller is utilized to generate the estimated speed by minimizing current errors between the two models. Second, a novel Sign Integral Terminal Sliding Mode Controller (SITSMC) is suggested in the presence of open phase faults. The proposed controller tolerates these faults through a transformation matrix tuning technique in view of equal current and minimum copper loss schemes. Meanwhile, SITSM controller utilizes the estimated speed of PI-MRAS block. Third, stability of the closed-loop system is provided by Lyapunov theorem. Finally, simulation results validate the feasibility and effectiveness of the suggested SFTC strategy both in normal and open one phase faulty conditions for a five-phase IPMSM.

show abstract

Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

Cited by 8 publications

References 24 publications

SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive

SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Contact Info

Product

Resources

About