State Space System Identification of 3-Degree-of-Freedom (DOF) Piezo-Actuator-Driven Stages with Unknown Configuration

Due to their fast response, high accuracy and non-friction force, piezo-actuators have been widely employed in multiple degree-of-freedom (DOF) stages for various nano-positioning applications. The use of flexible hinges in these piezo-actuator-driven stages allows the elimination of the influence of friction and backlash clearance, as observed in other configurations; meanwhile it also causes more complicated stage performance in terms of dynamics and the cross-coupling effect between different axes. Based on the system identification technique, this paper presents the development of a model for the 3-DOF piezo-actuator-driven stages with unknown configuration, with its parameters estimated from the Hankel matrix by means of the maximum a posteriori (MAP) online estimation. Experiments were carried out on a commercially-available piezo-actuator-driven stage to verify the effectiveness of the developed model, as compared to other methods. The results show that the developed model is able to predict the stage performance with improved accuracy, while the model parameters can be well updated online by using the MAP estimation. These capabilities allow investigation of the complicated stage performance and also provide a starting point from which the mode-based control scheme can be established for improved performance.

[1]  Qingsong Xu,et al.  Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine , 2012, IEEE Transactions on Industrial Electronics.

[2]  Santosh Devasia,et al.  Design of hysteresis-compensating iterative learning control for piezo-positioners: Application to atomic force microscopes , 2006 .

[3]  P. R. Ouyang,et al.  Micro-motion devices technology: The state of arts review , 2008 .

[4]  Y. Cao,et al.  An Inversion-Based Model Predictive Control With an Integral-of-Error State Variable for Piezoelectric Actuators , 2013, IEEE/ASME Transactions on Mechatronics.

[5]  Hüseyin Akçay,et al.  Frequency domain subspace-based identification of discrete-time power spectra from nonuniformly spaced measurements , 2004, Autom..

[6]  Claudio Garcia,et al.  Subspace identification for industrial processes , 2011 .

[7]  Po-Ying Chen,et al.  Precision tracking control of a biaxial piezo stage using repetitive control and double-feedforward compensation , 2011 .

[8]  Hui Chen,et al.  A neural networks based model for rate-dependent hysteresis for piezoceramic actuators , 2008 .

[9]  Chih-Jer Lin,et al.  PRECISE POSITIONING OF PIEZO-ACTUATED STAGES USING HYSTERESIS-OBSERVER BASED CONTROL , 2006 .

[10]  Y. Cao,et al.  A Novel Discrete ARMA-Based Model for Piezoelectric Actuator Hysteresis , 2012, IEEE/ASME Transactions on Mechatronics.

[11]  M. Fikar DECOUPLING CONTROL , 2011 .

[12]  Santosh Devasia,et al.  A Survey of Control Issues in Nanopositioning , 2007, IEEE Transactions on Control Systems Technology.

[13]  Qingsong Xu,et al.  Hysteresis modeling and compensation of a piezostage using least squares support vector machines , 2011 .

[14]  Michel Verhaegen,et al.  State-space system identification of robot manipulator dynamics , 1997 .

[15]  M. Viberg Subspace-based state-space system identification , 2002 .

[16]  Rong-Fong Fung,et al.  System Identification and Contour Tracking of a Plane-Type 3-DOF $(X,Y,\theta z)$ Precision Positioning Table , 2010, IEEE Transactions on Control Systems Technology.

[17]  Willem L. De Koning,et al.  State-space analysis and identification for a class of hysteretic systems , 2001, Autom..

[18]  X. B. Chen,et al.  Integrated PID-Based Sliding Mode State Estimation and Control for Piezoelectric Actuators , 2014, IEEE/ASME Transactions on Mechatronics.

[19]  J Y Peng,et al.  Modeling of Piezoelectric-Driven Stick–Slip Actuators , 2011, IEEE/ASME Transactions on Mechatronics.

[20]  Hüseyin Akçay,et al.  Frequency domain subspace-based identification of discrete-time power spectra from nonuniformly spaced measurements , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[21]  Hwa Soo Kim,et al.  Design and modeling of a novel 3-DOF precision micro-stage , 2009 .

[22]  Hewon Jung,et al.  Tracking control of piezoelectric actuators , 2001 .

[23]  M. Phan,et al.  Identification of observer/Kalman filter Markov parameters: Theory and experiments , 1993 .

[24]  Hui Chen,et al.  Corrigendum to “A neural networks based model for rate-dependent hysteresis for piezoceramic actuators” [Sens. Actuators A 143 (2008) 370–376] , 2008 .

[25]  Richard W. Longman,et al.  State-Space System Identification with Identified Hankel Matrix , 1998 .

[26]  W J Zhang,et al.  On the dynamics of piezoactuated positioning systems. , 2008, The Review of scientific instruments.