Modeling and tracking control for piezoelectric actuator based on a new asymmetric hysteresis model

2017 ◽  
Vol 4 (4) ◽  
pp. 782-791 ◽  
Author(s):  
Geng Wang ◽  
Guoqiang Chen ◽  
Hong Zhou ◽  
Fuzhong Bai
Keyword(s):  
Piezoelectric Actuator ◽  
Tracking Control ◽  
Hysteresis Model

scholarly journals Tracking Control of Piezoelectric Actuator using Softwared Charge Control.

1999 ◽  
Vol 65 (631) ◽  
pp. 991-997 ◽  
Author(s):  
Tadashi KAWAI ◽  
Kazuhiko OSHIMA ◽  
Tadao TAKIGAMI ◽  
Yoshikazu HAYAKAWA
Keyword(s):  
Piezoelectric Actuator ◽  
Tracking Control ◽  
Charge Control

scholarly journals Tracking control of piezoelectric actuators using a polynomial-based hysteresis model

AIP Advances ◽  
2016 ◽  
Vol 6 (6) ◽  
pp. 065204 ◽  
Author(s):  
Jinqiang Gan ◽  
Xianmin Zhang ◽  
Heng Wu
Keyword(s):  
Tracking Control ◽  
Piezoelectric Actuators ◽  
Hysteresis Model

Modeling and Tracking Control System of Shape Memory Alloy Actuator

2007 ◽  
Author(s):  
B. Y. Ren ◽  
B. Q. Chen
Keyword(s):  
Control System ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Tracking Control ◽  
Fuzzy Controller ◽  
Smart Structures ◽  
Constitutive Law ◽  
Hysteresis Model ◽  
Sma Actuators ◽  
Sma Actuator

The different Shape Memory Alloy (SMA) actuators have been widely used in the fields of smart structures. However, the accurate prediction of thermomechanical behavior of SMA actuators is very difficult due to the nonlinearity of inherence hysteresis of SMA. Therefore, the tracking control accuracy of SMA actuator is very important for the practical application of the SMA actuator. A dynamic hysteresis model of bias-type SMA actuator based on constitutive law developed by Brinson et al. and hysteresis model developed by Ikuta et al. is presented. The control systems composed of the Proportional Integral Derivative (PID) controller as well as a fuzzy controller or a fuzzy-PID composite controller for compensating the hysteresis is proposed. The effort of tracking control system is analyzed according to the simulation on the displacement of SMA actuator with the three kinds of controllers. The result can provide a reference for the application of SMA actuator in the fields of smart structures.

Tip tracking control of a micro-cantilever Timoshenko beam via piezoelectric actuator

2012 ◽  
Vol 19 (10) ◽  
pp. 1561-1574 ◽  
Author(s):  
Masoud Jahromi Shirazi ◽  
Hassan Salarieh ◽  
Aria Alasty ◽  
Rasool Shabani
Keyword(s):  
Piezoelectric Actuator ◽  
Timoshenko Beam ◽  
Tracking Control ◽  
Micro Cantilever

High Precision Tracking Control Using Piezoelectric Actuator Network

2005 ◽  
Author(s):  
X. Xue ◽  
J. Tang
Keyword(s):  
Sliding Mode Control ◽  
High Precision ◽  
Piezoelectric Actuator ◽  
Tracking Control ◽  
Sliding Mode ◽  
The State ◽  
Control Action ◽  
Minimum Phase ◽  
Hysteresis Nonlinearity ◽  
Control Scheme

Although piezoelectric actuators have been widely used in active control, the hysteresis nonlinearity and the non-minimum phase characteristic could potentially deteriorate the system performance, especially in high precision control applications under disturbance. In this study, a resistance/inductance circuit is connected to the piezoelectric actuator to form an actuator network. With the actuator dynamics, the system model can be directly cast into the state-space whereas the system nonlinearity appears as explicit functions of the state variables. We then develop an integral continuous sliding mode control scheme to tackle the hysteresis nonlinearity and the disturbance issues. Instead of inverse hysteresis cancellation which might not be reliable due to the measurement noise, a direct piezoelectric hysteresis compensation can be achieved using this control strategy. The newly developed control scheme combines the advantages of both integral control and continuous sliding mode control with cubic state feedback. Not only can the control action react efficiently and effectively for the non-minimum phase response, but also, a zero steady state tracking error is guaranteed. Detailed analysis and case studies demonstrate that this new methodology can lead to improved tracking control precision, enhanced control robustness, and smoother control action.

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