Uncertainty-and-Disturbance-Estimator-Based Current Control Scheme for PMSM Drives With a Simple Parameter Tuning Algorithm

Synchronous-frame proportional-integral (PI) curr-ent control is the most popular solution in industrial permanent-magnet synchronous motor (PMSM) drive systems. However, due to the nonlinearities from large parameter uncertainties and complex operating conditions, it is challenging to select the parameters of the PI controller with satisfactory performance by trial-and-error. To this end, this paper presents an uncertainty-and-disturbance-estimator-based current control scheme for PMSM drives, which has a simple structure and is robust to machine parameter perturbations. Meanwhile, it is interesting that the controller parameters (proportional and integral gains) are simply expressed in the desired closed-loop bandwidth and the approximate lumped disturbance bandwidth. A simple dual-loop tuning algorithm is also proposed to select the appropriate controller parameters, and trial-and-error can be largely avoided. Finally, the efficacy of the proposed control method is fully supported by comparative experimental validation with the synchronous-frame PI control on a dSPACE DS1103-based PMSM drive prototype.

[1]  Daniel E. Quevedo,et al.  Speed control of a permanent magnet synchronous motor using predictive current control , 2009, 2009 IEEE 6th International Power Electronics and Motion Control Conference.

[2]  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.

[3]  Gou-Jen Wang,et al.  Neural-network-based self-tuning PI controller for precise motion control of PMAC motors , 2001, IEEE Trans. Ind. Electron..

[4]  Hans-Peter Nee,et al.  Model-based current control of AC machines using the internal model control method , 1995 .

[5]  Han Ho Choi,et al.  Fuzzy PI-type current controllers for permanent magnet synchronous motors , 2011 .

[6]  Sanjay E. Talole,et al.  Robust input–output linearisation using uncertainty and disturbance estimation , 2009, Int. J. Control.

[7]  R. Krishnan,et al.  Electric Motor Drives: Modeling, Analysis, and Control , 2001 .

[8]  Richard Stobart,et al.  Design of UDE‐based controllers from their two‐degree‐of‐freedom nature , 2011 .

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

[10]  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.

[11]  Ying-Yu Tzou,et al.  Fuzzy optimization techniques applied to the design of a digital PMSM servo drive , 2004 .

[12]  Beibei Ren,et al.  UDE-based robust control of variable-speed wind turbines , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[13]  S. Bolognani,et al.  Model Predictive Direct Speed Control with Finite Control Set of PMSM Drive Systems , 2013, IEEE Transactions on Power Electronics.

[14]  S. E. Talole,et al.  UDE based backstepping design for ship autopilot , 2015, 2015 International Conference on Industrial Instrumentation and Control (ICIC).

[15]  A. Kuperman,et al.  Robust UDE-based control of active magnetic bearing for flywheel applications , 2012, 2012 Electrical Systems for Aircraft, Railway and Ship Propulsion.

[16]  Jong-Woo Chui,et al.  New current control concept-minimum time current control in the three-phase PWM converter , 1997 .

[17]  Alon Kuperman.  UDE-based robust voltage control of dc-dc power converters , 2013, 2013 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[18]  Qing-Chang Zhong,et al.  Control of Uncertain LTI Systems Based on an Uncertainty and Disturbance Estimator , 2004 .

[19]  Kamal Youcef-Toumi,et al.  A Time Delay Controller for Systems with Unknown Dynamics , 1988, 1988 American Control Conference.

[20]  Beibei Ren,et al.  Robust Control for a Class of Nonaffine Nonlinear Systems Based on the Uncertainty and Disturbance Estimator , 2015, IEEE Transactions on Industrial Electronics.

[21]  Alon Kuperman,et al.  Uncertainty and Disturbance Estimator–Based Control for Uncertain LTI-SISO Systems With State Delays , 2011 .

[22]  Wei Xu,et al.  Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives , 2015, IEEE Transactions on Industrial Electronics.