On friction and disturbance-compensation based control design for PMSM servo system

In this paper, the position control problem of high-precision permanent magnet synchronous motor servo system is studied. From improving the system low velocity performance and disturbance rejection property point of view, a compound control method, which combines model-based friction compensation with disturbance observer compensation, is designed for speed loop based on PI control strategy. First, the system friction is modeled by Stribeck friction model, whose parameters are identified offline by using genetic algorithm, and the feedforward compensation is presented using the estimated value of the identified model. Subsequently, a disturbance observer is used to estimate the uncertainties caused by modeling errors, friction over-compensation or less-compensation and external disturbance, and then this observed value is used to construct further feedforward compensation. Simulation results show that the proposed method can reduce the influence of the friction nonlinearity on the low velocity performance of servo system and improve the system tracking accuracy and disturbance rejection property.

[1]  Mi-Ching Tsai,et al.  Design and implementation of command and friction feedforward control for CNC motion controllers , 2004 .

[2]  Jan Swevers,et al.  Nonlocal hysteresis function identification and compensation with neural networks , 2005, IEEE Transactions on Instrumentation and Measurement.

[3]  Satish S. Nair,et al.  Identification of friction for control at low velocities , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[4]  Glenn R. Widmann,et al.  A new model for nonlinear friction compensation in the force control of robot manipulators , 1997, Proceedings of the 1997 IEEE International Conference on Control Applications.

[5]  Brian Armstrong,et al.  New results in NPID control: Tracking, integral control, friction compensation and experimental results , 2001, IEEE Trans. Control. Syst. Technol..

[6]  R.D. Lorenz,et al.  Experimental identification of friction and its compensation in precise, position controlled mechanisms , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[7]  Johannes A.G.M. van Dijk,et al.  Disturbance Observers for Rigid Mechanical Systems: Equivalence, Stability, and Design , 2002 .

[8]  Shihua Li,et al.  Adaptive Speed Control for Permanent-Magnet Synchronous Motor System With Variations of Load Inertia , 2009, IEEE Transactions on Industrial Electronics.

[9]  Tomonobu Senjyu,et al.  Robust Speed Control of DC Servo Motor , 1994 .

[10]  Nobuyuki Matsui,et al.  Disturbance observer-based nonlinear friction compensation in table drive system , 1998, AMC 1998.

[11]  Faa-Jeng Lin,et al.  A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller , 2004, IEEE Transactions on Energy Conversion.

[12]  Carlos Canudas de Wit,et al.  A survey of models, analysis tools and compensation methods for the control of machines with friction , 1994, Autom..

[13]  Ying-Shieh Kung,et al.  FPGA-Based Speed Control IC for PMSM Drive With Adaptive Fuzzy Control , 2007, IEEE Transactions on Power Electronics.

[14]  N. Matsui,et al.  Disturbance observer-based nonlinear friction compensation in table drive system , 1998, AMC'98 - Coimbra. 1998 5th International Workshop on Advanced Motion Control. Proceedings (Cat. No.98TH8354).

[15]  Frank L. Lewis,et al.  Neural network approximation of piecewise continuous functions: application to friction compensation , 1997, Proceedings of 12th IEEE International Symposium on Intelligent Control.

[16]  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.

[17]  William A. Sethares,et al.  Nonlinear parameter estimation via the genetic algorithm , 1994, IEEE Trans. Signal Process..

[18]  Carlos Canudas de Wit,et al.  Adaptive Friction Compensation in Robot Manipulators: Low Velocities , 1991, Int. J. Robotics Res..