Model-free control of surface mounted PMSM drive system

A model-free control scheme is proposed for a surface mounted permanent magnet synchronous motor (SMPMSM) drive system with parametric uncertainties and inverter nonlinearity. Using only the input and output data of system, the ultra-local model of SMPMSM system is first set up and the proposed ultra-local model is able to accurately identify the nonparametric model of SMPMSM system with the unknown parts including the parametric uncertainties, inverter nonlinearity and cross-coupling voltages, then the model-free current controller is designed based on the ultra-local model. The effectiveness of the proposed scheme is implemented in both the simulations and experiments, further, the comparative analysis between the proposed model-free controlled SMPMSM drive system and the conventional PI controlled SMPMSM drive system is given and some valuable conclusions are shown.

[1]  Hyun-Soo Kim,et al.  Nonlinearity estimation and compensation of PWM VSI for PMSM under resistance and flux linkage uncertainty , 2006, IEEE Transactions on Control Systems Technology.

[2]  Kyeong-Hwa Kim.  Dual estimator-based compensation for dead time and nonlinearity unaffected by parameter variations in PMSM drive , 2012 .

[3]  Rafal Madonski,et al.  Model-free control of a two-dimensional system based on uncertainty reconstruction and attenuation , 2013, 2013 Conference on Control and Fault-Tolerant Systems (SysTol).

[4]  Radu-Emil Precup,et al.  Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments , 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

[5]  E.F. El-Saadany,et al.  A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems , 2008, IEEE Transactions on Energy Conversion.

[6]  Cédric Join,et al.  Model-free control , 2013, Int. J. Control.

[7]  Wootaik Lee,et al.  Effective Dead-Time Compensation Using a Simple Vectorial Disturbance Estimator in PMSM Drives , 2010, IEEE Transactions on Industrial Electronics.

[8]  S.-W. Hung,et al.  Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems , 2010 .

[9]  Hyun-Soo Kim,et al.  On-line dead-time compensation method based on time delay control , 2003, IEEE Trans. Control. Syst. Technol..

[10]  Kyeong-Hwa Kim.  Simple on-line compensation scheme of nonlinearity in inverter-fed PMSM drive using MRAC and co-ordinate transformation , 2011 .

[11]  Daniel Thomasset,et al.  Robustness Study on the Model-Free Control and the Control with Restricted Model of a High Performance Electro-Hydraulic System , 2013 .

[12]  Yasser Abdel-Rady Ibrahim Mohamed,et al.  Design and Implementation of a Robust Current-Control Scheme for a PMSM Vector Drive With a Simple Adaptive Disturbance Observer , 2007, IEEE Transactions on Industrial Electronics.

[13]  Kyeong-Hwa Kim,et al.  A simple and robust digital current control technique of a PM synchronous motor using time delay control approach , 2001 .

[14]  Rakib Islam,et al.  Real time estimation of parameters for controlling and monitoring permanent magnet synchronous motors , 2009, 2009 IEEE International Electric Machines and Drives Conference.

[15]  Cédric Join,et al.  Active magnetic bearing: A new step for model-free control , 2013, 52nd IEEE Conference on Decision and Control.

[16]  Seung-Ki Sul,et al.  Voltage Feedback Current Control Scheme for Improved Transient Performance of Permanent Magnet Synchronous Machine Drives , 2012, IEEE Transactions on Industrial Electronics.

[17]  Shangtai Jin,et al.  Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems , 2011, IEEE Transactions on Neural Networks.

[18]  Iqbal Husain,et al.  Online Parameter Estimation and Adaptive Control of Permanent-Magnet Synchronous Machines , 2010, IEEE Transactions on Industrial Electronics.

[19]  Claudia-Adina Dragos,et al.  Model-free tuning solution for sliding mode control of servo systems , 2014, 2014 IEEE International Systems Conference Proceedings.

[20]  Hou Zhongsheng.  Data-driven model-free adaptive precision control for linear servo system , 2012 .

[21]  Frede Blaabjerg,et al.  Improved modulation techniques for PWM-VSI drives , 1997, IEEE Trans. Ind. Electron..

[22]  Y. Mohamed,et al.  Adaptive self-tuning MTPA vector controller for IPMSM drive system , 2006, IEEE Transactions on Energy Conversion.

[23]  Li Shi-hua.  Active Disturbance Rejection Controller Based on Permanent Magnetic Synchronous Motor Model Identification and Compensation , 2008 .

[24]  Inés Tejado,et al.  Data-driven fractional PID control: application to DC motors in flexible joints , 2012 .

[25]  Shigeo Morimoto,et al.  Wide-speed operation of interior permanent magnet synchronous motors with high-performance current regulator , 1994 .

[26]  Cédric Join,et al.  Stability margins and model-free control: A first look , 2014, 2014 European Control Conference (ECC).

[27]  Dong-Min Park,et al.  Parameter-Independent Online Compensation Scheme for Dead Time and Inverter Nonlinearity in IPMSM Drive Through Waveform Analysis , 2014, IEEE Transactions on Industrial Electronics.

[28]  Jean-François Balmat,et al.  A model-free control strategy for an experimental greenhouse with an application to fault accommodation , 2014, Comput. Electron. Agric..

[29]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..