Discrete Composite Control of Piezoelectric Actuators for High-Speed and Precision Scanning

Liu, Lei; Tan, Kok Kiong; Chen, Silu; Teo, Chek Sing; Lee, Tong Heng

doi:10.1109/tii.2012.2221468

Cited by 77 publications

(37 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among various hysteresis models such as Preisach model [18,19], Bouc-Wen model [20,21], Prandtl-Ishlinskii (P-I) model [22,23], the P-I hysteresis model attracts more attention for the structural simplicity, easy model identification and analytical inverse. As a result, the P-I model is selected to model the hysteresis and further form a feedforward-feedback controller to control the motion of the platform.…”

Section: Introductionmentioning

confidence: 99%

An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism

Guo

Tian

Liu

et al. 2015

Sensors and Actuators A: Physical

View full text Add to dashboard Cite

Copies of full items can be used for personal research or study, educational, or not-forprofit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. Abstract ： A modified Prandtl-Ishlinskii (P-I) hysteresis model is developed to form the feedforward controller for a 3-DOF flexure-based mechanism. To improve the control accuracy of the P-I hysteresis model, a hybrid structure that includes backlash operators, dead-zone operators and a cubic polynomial function is proposed. Both the rate-dependent hysteresis modeling and adaptive dead-zone thresholds selection method are investigated. System identification was used to obtain the parameters of the newly-developed hysteresis model. Closed-loop control was added to reduce the influence from external disturbances such as vibration and noise, leading to a combined feedforward/feedback control strategy. The cross-axis coupling motion of the 3-DOF flexure-based mechanism has been explored using the established controller. Accordingly, a decoupling feedforward/feedback controller is proposed and implemented to compensate the coupled motion of the moving platform. Experimental tests are reported to examine the tracking capability of the whole system and features of the controller. It is demonstrated that the proposed decoupling control methodology can distinctly reduce the coupling motion of the moving platform and thus improve the positioning accuracy and trajectory tracking capability.

show abstract

Section: Introductionmentioning

confidence: 99%

An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism

Guo

Tian

Liu

et al. 2015

Sensors and Actuators A: Physical

View full text Add to dashboard Cite

show abstract

“…In the contrary, the feedforward control schemes require the inverse of the precise hysteresis model to compensate its effect. The hysteresis models used frequently include Maxwell resistive capacitor (MRC) model [10], Preisach model [11], Prandtl-Ishlinskii model [12], Bouc-Wen model [13], polynomial model, etc. Furthermore, a lot of works combined the feedforward control and feedback control in the designing of the controller, in order to better reduce the positioning errors and alleviate the losing of precision [14,15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Sliding Mode Control for Nano-positioning of Piezoelectric Actuators

Yang

2015

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

In this paper, an adaptive fuzzy sliding mode control method is presented, which combines a fuzzy component added on the switching control part for use in controlling the piezoelectric actuators' systems with uncertainties. The fuzzy logic component employed in the controller is used to compensate the effect of nonlinear terms in the system. The resulting control strategy is devised using sliding mode control schemes. Furthermore, the additional fuzzy term accelerates convergence toward the sliding surface and suppresses the chattering phenomenon. By using Lyapunov-based stability analysis, the asymptotic tracking ability of the designed controller is proved. Experimental results confirm that the designed control approach produces faster response and smaller tracking errors in comparison with the conventional sliding mode controller. The effectiveness and feasibility of the proposed control technique are verified through experimental investigations on a PEA stage.

show abstract

“…Thus, lots of efforts have been made to address the modeling problems. Preisach [6][7][8] and Prandt-Ishlinskii (PI) [9][10][11][12] operators are widely used to model the hysteresis in PEAs. In [13,14], Goldarb and Celanovic proposed an electromechanical model for PEAs, in which the hysteresis is assumed to lie solely between the applied voltage and the surface charge and characterized by the Maxwell resistive capacitor (MRC) model by introducing the Maxwell-slip friction model into electric domain.…”

Section: Introductionmentioning

confidence: 99%

Modeling hysteresis, creep, and dynamic effects for piezoactuator-based nano-positioning systems

Shan

Liu

Gabbert

2015

2015 IEEE International Conference on Information and Automation

View full text Add to dashboard Cite

In this paper, a model characterizing hysteresis, creep, and dynamic effects is proposed for simulation and control system design of piezoactuator-based nano-positioning system. Fractional-order integrator is employed to characterize the creep behavior at low frequencies. Maxwell resistive capacitor (MRC) model is used to capture the rate-independent hysteresis lying in the electric domain between the applied voltage and the surface charge. The remaining high-frequency dynamics, including the dynamics of the mechanical structure, the voltage amplifier, and the capacitive sensor, are described by a high-order linear system. The proposed model is verified experimentally.

show abstract

Discrete Composite Control of Piezoelectric Actuators for High-Speed and Precision Scanning

Cited by 77 publications

References 26 publications

An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism

An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism

Adaptive Fuzzy Sliding Mode Control for Nano-positioning of Piezoelectric Actuators

Modeling hysteresis, creep, and dynamic effects for piezoactuator-based nano-positioning systems

Contact Info

Product

Resources

About