Robust Antiwindup Compensation for High-Precision Tracking of a Piezoelectric Nanostage

Ultrahigh-precision tracking in nanomanipulations poses major challenges for mechanical design as well as servo control, due to the general confliction between the precision requirement and large stroke tracking. The situation is further complicated by input saturation, which is almost inevitable for microactuators. This paper presents a novel control architecture combining a parallel internal-model-based tracking design and a robust antiwindup control structure, such that asymptotic tracking can be achieved for nanoservo systems in the presence of saturation nonlinearity and model uncertainties. For the augmented system with internal-model dynamics, an I/Obased equivalent representation from control (free of saturation) to system output is derived by incorporating the dead-zone nonlinearity, saturation compensation blocks, as well internal-model units. The robustness condition on the saturation compensator is also derived based on the sector bound criterion and an H∞-optimal design is developed accordingly. The proposed robust antiwindup tracking control architecture is deployed on a customize-designed nanostage driven by a piezoelectric (PZT) actuator, where numerical simulations and real-time experiments demonstrate excellent tracking performance and saturation compensation capability, achieving tracking precision error less than 0.23%.

[1]  Luca Zaccarian,et al.  Anti-windup synthesis for linear control systems with input saturation: Achieving regional, nonlinear performance , 2008, Autom..

[2]  Peng Yan,et al.  Flexure-hinges guided nano-stage for precision manipulations: Design, modeling and control , 2015 .

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

[4]  Zhen Zhang,et al.  A discrete time-varying internal model based approach for high precision tracking , 2013 .

[5]  Pengbo Liu,et al.  Modeling and control of a novel X-Y parallel piezoelectric-actuator driven nanopositioner. , 2015, ISA transactions.

[6]  Han Ding,et al.  Motion Control of Piezoelectric Positioning Stages: Modeling, Controller Design, and Experimental Evaluation , 2013, IEEE/ASME Transactions on Mechatronics.

[7]  Guang-Ren Duan,et al.  A parametric periodic Lyapunov equation with application in semi-global stabilization of discrete-time periodic systems subject to actuator saturation , 2010, Proceedings of the 2010 American Control Conference.

[8]  Ian Postlethwaite,et al.  Linear conditioning for systems containing saturating actuators , 2000, Autom..

[9]  Qingsong Xu Digital Sliding-Mode Control of Piezoelectric Micropositioning System Based on Input–Output Model , 2014, IEEE Transactions on Industrial Electronics.

[10]  Anders Robertsson,et al.  Adaptive internal model control for mid-ranging of closed-loop systems with internal saturation , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Zongxuan Sun,et al.  Low-Order Stabilizer Design for Discrete Linear Time-Varying Internal Model-Based System , 2015, IEEE/ASME Transactions on Mechatronics.

[12]  Andreas Rauh,et al.  Interval-Based Sliding Mode Control Design for Solid Oxide Fuel Cells With State and Actuator Constraints , 2015, IEEE Transactions on Industrial Electronics.

[13]  Pengbo Liu,et al.  Design and analysis of an X–Y parallel nanopositioner supporting large-stroke servomechanism , 2015 .

[14]  Ming-Li Chiang,et al.  Modeling and Controller Design of a Precision Hybrid Scanner for Application in Large Measurement-Range Atomic Force Microscopy , 2014, IEEE Transactions on Industrial Electronics.

[15]  Qingze Zou,et al.  A review of feedforward control approaches in nanopositioning for high-speed spm , 2009 .

[16]  Srinivasa M. Salapaka,et al.  Design methodologies for robust nano-positioning , 2005, IEEE Transactions on Control Systems Technology.

[17]  Bijan Shirinzadeh,et al.  Robust Adaptive Constrained Motion Tracking Control of Piezo-Actuated Flexure-Based Mechanisms for Micro/Nano Manipulation , 2011, IEEE Transactions on Industrial Electronics.

[18]  T. Başar Absolute Stability of Nonlinear Systems of Automatic Control , 2001 .

[19]  Guang Li,et al.  A novel robust disturbance rejection anti-windup framework , 2011, Int. J. Control.

[20]  Qingze Zou,et al.  A Modeling-Free Inversion-Based Iterative Feedforward Control for Precision Output Tracking of Linear Time-Invariant Systems , 2013, IEEE/ASME Transactions on Mechatronics.

[21]  Yangmin Li,et al.  Development and Active Disturbance Rejection Control of a Compliant Micro-/Nanopositioning Piezostage With Dual Mode , 2014, IEEE Transactions on Industrial Electronics.

[22]  Stephen Duncan,et al.  Discrete-time anti-windup compensation for synchrotron electron beam controllers with rate constrained actuators , 2016, Autom..

[23]  Guido Herrmann,et al.  Incorporating Robustness Requirements Into Antiwindup Design , 2007, IEEE Transactions on Automatic Control.

[24]  Bin Zhou,et al.  A parametric periodic Lyapunov equation with application in semi-global stabilization of discrete-time periodic systems subject to actuator saturation , 2010, ACC 2010.

[25]  J.A. De Abreu-Garcia,et al.  Tracking control of a piezoceramic actuator with hysteresis compensation using inverse Preisach model , 2005, IEEE/ASME Transactions on Mechatronics.

[26]  Zongli Lin,et al.  Dynamic anti-windup design in anticipation of actuator saturation , 2011, Proceedings of the 2011 American Control Conference.

[27]  Minyue Fu,et al.  Saturation Control of a Piezoelectric Actuator for Fast Settling-Time Performance , 2013, IEEE Transactions on Control Systems Technology.

[28]  Jie Zhang,et al.  Design of a modified repetitive-control system based on a continuous-discrete 2D model , 2012, Autom..

[29]  Huijun Gao,et al.  Saturated Adaptive Robust Control for Active Suspension Systems , 2013, IEEE Transactions on Industrial Electronics.