Automated Multistep Parameter Identification of SPMSMs in Large-Scale Applications Using Cloud Computing Resources

Parameter identification of permanent magnet synchronous machines (PMSMs) represents a well-established research area. However, parameter estimation of multiple running machines in large-scale applications has not yet been investigated. In this context, a flexible and automated approach is required to minimize complexity, costs, and human interventions without requiring machine information. This paper proposes a novel identification strategy for surface PMSMs (SPMSMs), highly suitable for large-scale systems. A novel multistep approach using measurement data at different operating conditions of the SPMSM is proposed to perform the parameter identification without requiring signal injection, extra sensors, machine information, and human interventions. Thus, the proposed method overcomes numerous issues of the existing parameter identification schemes. An IoT/cloud architecture is designed to implement the proposed multistep procedure and massively perform SPMSM parameter identifications. Finally, hardware-in-the-loop results show the effectiveness of the proposed approach.

[1]  Kan Liu,et al.  Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview , 2021, IEEE Access.

[2]  Kan Liu,et al.  Online Estimation of the Rotor Flux Linkage and Voltage-Source Inverter Nonlinearity in Permanent Magnet Synchronous Machine Drives , 2014, IEEE Transactions on Power Electronics.

[3]  Yo-Ming Hsieh,et al.  Cloud-Computing Based Parameter Identification System - with Applications in Geotechnical Engineering , 2014 .

[4]  Francesco Cupertino,et al.  Maximisation of power density in permanent magnet machines with the aid of optimisation algorithms , 2018 .

[5]  Wenlong Li,et al.  Current Injection-Based Multi-parameter Estimation for Dual Three-Phase IPMSM Considering VSI Nonlinearity , 2019, IEEE Transactions on Transportation Electrification.

[6]  Frede Blaabjerg,et al.  A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives , 2020 .

[7]  Mohamed Rashed,et al.  Sensorless Indirect-Rotor-Field-Orientation Speed Control of a Permanent-Magnet Synchronous Motor With Stator-Resistance Estimation , 2007, IEEE Transactions on Industrial Electronics.

[8]  Mohammad Meraj,et al.  Novel Level Shifted PWM Technique for Unequal and Equal Power Sharing in Quasi Z-Source Cascaded Multilevel Inverter for PV Systems , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[9]  Kan Liu,et al.  Global Identification of Electrical and Mechanical Parameters in PMSM Drive Based on Dynamic Self-Learning PSO , 2018, IEEE Transactions on Power Electronics.

[10]  Tomonobu Senjyu,et al.  Accurate parameter measurement for high speed permanent magnet synchronous motors , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).

[11]  Jing Zhang,et al.  Online Multiparameter Estimation of Nonsalient-Pole PM Synchronous Machines With Temperature Variation Tracking , 2011, IEEE Transactions on Industrial Electronics.

[12]  Muhammad Saad Rafaq,et al.  A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range , 2020, IEEE Transactions on Industrial Informatics.

[13]  R. Russell Rhinehart,et al.  Automated steady and transient state identification in noisy processes , 2013, 2013 American Control Conference.

[14]  Gennady Zinoviev,et al.  AC voltage regulators with switched capacitors , 2016, 2016 IEEE International Power Electronics and Motion Control Conference (PEMC).

[15]  Francesco Cupertino,et al.  A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models , 2021, Energies.

[16]  Kan Liu,et al.  Position-Offset-Based Parameter Estimation Using the Adaline NN for Condition Monitoring of Permanent-Magnet Synchronous Machines , 2015, IEEE Transactions on Industrial Electronics.

[17]  Roland Petrasch,et al.  Cloud storage hub: Data management for IoT and industry 4.0 applications: Towards a consistent enterprise information management system , 2016, 2016 Management and Innovation Technology International Conference (MITicon).

[18]  Yunhua Li,et al.  Temperature Prediction and Thermal Boundary Simulation Using Hardware-in-Loop Method for Permanent Magnet Synchronous Motors , 2016, IEEE/ASME Transactions on Mechatronics.

[19]  Julio R. Banga,et al.  Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study , 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

[20]  Kan Liu,et al.  Parameter Estimation for Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets , 2013, IEEE Transactions on Industrial Electronics.

[21]  T. Daboczi,et al.  Offline Parameter Estimation of Permanent Magnet Sychronous Machines by means of LS Optimization , 2008, 2008 IEEE/SICE International Symposium on System Integration.

[22]  Dianguo Xu,et al.  Offline Parameter Self-Learning Method for General-Purpose PMSM Drives With Estimation Error Compensation , 2019, IEEE Transactions on Power Electronics.

[23]  Francesco Cupertino,et al.  Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer , 2020, Energies.

[24]  Aleksey V. Udovichenko AC voltage regulators with high frequency transformer review , 2016, 2016 17th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM).

[25]  Kay Hameyer,et al.  A fast online full parameter estimation of a PMSM with sinusoidal signal injection , 2015, 2015 IEEE Energy Conversion Congress and Exposition (ECCE).

[26]  Lifang Wang,et al.  Novel PMSM Control for Anti-Lock Braking Considering Transmission Properties of the Electric Vehicle , 2018, IEEE Transactions on Vehicular Technology.

[27]  Tamás Dabóczi,et al.  Online parameter estimation of permanent magnet synchronous machines by means of window LS optimization , 2009, 2009 European Control Conference (ECC).

[28]  G. L. Cascella,et al.  SuMRAS: a new SPMSM Parameter Identification in Cloud Computing Environment , 2021, 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD).

[29]  Ignazio Marongiu,et al.  Discrete-Time Parameter Identification of a Surface-Mounted Permanent Magnet Synchronous Machine , 2013, IEEE Transactions on Industrial Electronics.