Design of Adaptive Voltage Dither Control Framework Based on Spectral Analysis for Nonlinear Piezoelectric Actuator

Advances in miniaturization of micromachines are receiving considerable industrial attention, with a crucial aspect of research being on precision positioning and manipulation at the micro-nanoscale. Nanopositioners are precision mechatronic systems designed to deal with objects at extremely precise resolution wherein piezoelectric actuators have a high potential to impact emerging markets. However, the major bottleneck in harvesting the advantages of piezoelectric actuator for nanopositioning is the presence of inherent nonlinearity, mostly hysteresis, along with the presence of external dynamical disturbance, and traditional feedback controller cannot handle. Dithering has been used in the parlance of piezoelectric actuation as a surprisingly simple yet powerful means of enhancing system performance. This research presents the design framework of an adaptive voltage dither control logic based on spectral analysis of the system output using normalized harmonic ratio. The proposed controller adaptively tunes the intensity of dither amplitude depending on the system response to an optimum value that yields satisfactory results. A commercially available piezo-actuator has been used to model the system along with hysteresis using Dahl model, and system parameters have been identified experimentally. Performance of the proposed controller has been investigated by subjecting the plant model to several real-time perturbations like plant parameter variation, sinusoidal motion tracking, multi-amplitude multi-frequency input signal, external disturbances like Gaussian and impulse, step response, etc., and with the results showing better control performance and disturbance rejection capability as compared to traditional feedback control.

[1]  Hongguang Li,et al.  Hysteresis model and adaptive vibration suppression for a smart beam with time delay , 2015 .

[2]  P. Hänggi,et al.  Stochastic Resonance: A remarkable idea that changed our perception of noise , 2009 .

[3]  Zhan Yang,et al.  A PZT Actuated Triple-Finger Gripper for Multi-Target Micromanipulation , 2017, Micromachines.

[4]  Dong An,et al.  Compensation of Hysteresis on Piezoelectric Actuators Based on Tripartite PI Model , 2018, Micromachines.

[5]  Sheng Fang,et al.  Dynamic modeling and adaptive vibration suppression of a high-speed macro-micro manipulator , 2018 .

[6]  Minzhou Luo,et al.  A Precise Positioning Method for a Puncture Robot Based on a PSO-Optimized BP Neural Network Algorithm , 2017 .

[7]  Jianjun Yao,et al.  Acceleration Harmonics Identification for an Electro-Hydraulic Servo Shaking Table Based on a Nonlinear Adaptive Algorithm , 2018 .

[8]  Y. Stepanenko,et al.  Intelligent control of piezoelectric actuators , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[9]  Suhada Jayasuriya,et al.  Feedforward Controllers and Tracking Accuracy in the Presence of Plant Uncertainties , 1995 .

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

[11]  Yung Hsiang Chen,et al.  Nano-Scale Positioning Design with Piezoelectric Materials , 2017, Micromachines.

[12]  Sourav Pradhan,et al.  Dither based precise position control of piezo actuated micro-nano manipulator , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[13]  Qingsong Xu,et al.  Dahl Model-Based Hysteresis Compensation and Precise Positioning Control of an XY Parallel Micromanipulator With Piezoelectric Actuation , 2010 .

[14]  Tao Jin,et al.  Piezoelectric Poly(vinylidene fluoride) (PVDF) Polymer-Based Sensor for Wrist Motion Signal Detection , 2018 .

[15]  Andreas Kugi,et al.  Motion Planning for Piezo-Actuated Flexible Structures: Modeling, Design, and Experiment , 2013, IEEE Transactions on Control Systems Technology.

[16]  Timothy N. Chang,et al.  Control of nonlinear piezoelectric stack using adaptive dither , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[17]  Dario Petri,et al.  Effect of additive dither on the resolution of ideal quantizers , 1994 .

[18]  G. Parisi,et al.  Stochastic resonance in climatic change , 1982 .

[19]  Yangmin Li,et al.  Hysteresis Compensation and Sliding Mode Control with Perturbation Estimation for Piezoelectric Actuators , 2018, Micromachines.

[20]  Vahid Hassani,et al.  A hysteresis model for a stacked-type piezoelectric actuator , 2017 .

[21]  Yanling Tian,et al.  Design and Control of a Compliant Microgripper With a Large Amplification Ratio for High-Speed Micro Manipulation , 2016, IEEE/ASME Transactions on Mechatronics.

[22]  Harry E. Stephanou,et al.  A Multiscale Assembly and Packaging System for Manufacturing of Complex Micro-Nano Devices , 2012, IEEE Transactions on Automation Science and Engineering.

[23]  Murti V. Salapaka,et al.  Stochastic resonance in AFM's , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[24]  Zhili Long,et al.  Hysteresis compensation of the Prandtl-Ishlinskii model for piezoelectric actuators using modified particle swarm optimization with chaotic map. , 2017, The Review of scientific instruments.

[25]  Michael Goldfarb,et al.  Modeling Piezoelectric Stack Actuators for Control of Mlcromanlpulatlon , 2022 .

[26]  Kurt Wiesenfeld,et al.  Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs , 1995, Nature.

[27]  Yangmin Li,et al.  Design, Analysis, and Test of a Novel 2-DOF Nanopositioning System Driven by Dual Mode , 2013, IEEE Transactions on Robotics.

[28]  Lei Fu,et al.  Development and precision position/force control of a new flexure-based microgripper , 2015 .

[29]  Yanding Qin,et al.  Modeling and Identification of the Rate-Dependent Hysteresis of Piezoelectric Actuator Using a Modified Prandtl-Ishlinskii Model , 2017, Micromachines.

[30]  Gregoire Nicolis,et al.  Stochastic resonance , 2007, Scholarpedia.

[31]  Jong-Yun Yoon,et al.  Modified LMS Strategies Using Internal Model Control for Active Noise and Vibration Control Systems , 2018, Applied Sciences.

[32]  Ivars Bilinskis,et al.  Randomized Signal Processing , 1992 .

[33]  Klaus Kuhnen,et al.  Modeling, Identification and Compensation of Complex Hysteretic Nonlinearities: A Modified Prandtl - Ishlinskii Approach , 2003, Eur. J. Control.

[34]  Xianmin Zhang,et al.  A novel microgripper hybrid driven by a piezoelectric stack actuator and piezoelectric cantilever actuators. , 2016, The Review of scientific instruments.

[35]  Y. Yamamoto,et al.  Modelling a Micro Manipulation System with Flexure Hinge , 2006, 2006 IEEE Conference on Robotics, Automation and Mechatronics.

[36]  Micky Rakotondrabe,et al.  Bouc–Wen Modeling and Feedforward Control of Multivariable Hysteresis in Piezoelectric Systems: Application to a 3-DoF Piezotube Scanner , 2015, IEEE Transactions on Control Systems Technology.

[37]  Paolo Bonato,et al.  Noise‐enhanced balance control in patients with diabetes and patients with stroke , 2006, Annals of neurology.

[38]  Luca Gammaitoni,et al.  Stochastic resonance in multi-threshold systems , 1995 .