Tracking Control of Piezoelectric Actuators using Feedforward/Feedback Learning-based Controller

Author(s):  
Ashraf Saleem ◽  
Musabah Al Hattali ◽  
Mohammed Shafiq ◽  
Issam Bahadur
AIP Advances ◽  
2016 ◽  
Vol 6 (6) ◽  
pp. 065204 ◽  
Author(s):  
Jinqiang Gan ◽  
Xianmin Zhang ◽  
Heng Wu

Mechatronics ◽  
2019 ◽  
Vol 57 ◽  
pp. 39-50 ◽  
Author(s):  
Jinoh Lee ◽  
Maolin Jin ◽  
Navvab Kashiri ◽  
Darwin G. Caldwell ◽  
Nikolaos G. Tsagarakis

2001 ◽  
Vol 12 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Hewon Jung ◽  
Jong Youp Shim ◽  
DaeGab Gweon

2012 ◽  
Vol 6 (5) ◽  
pp. 615 ◽  
Author(s):  
M.H. Salah ◽  
M.L. McIntyre ◽  
D.M. Dawson ◽  
J.R. Wagner ◽  
E. Tatlicioglu

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jin Li ◽  
Liu Yang

This paper proposes an adaptive proportion-integral (PI)-based sliding mode control design (APISMC) used for nanopositioning of piezoelectric actuators (PEAs). Nonlinearities, mainly hysteresis, can drastically degrade the system performance. As well as the model imperfection, hysteresis can be treated as uncertainties of the system. These uncertainties can be addressed by sliding mode control (SMC) since SMC is promising for positioning and tracking control. To further improve the response speed, suppress chattering, and reduce the steady-state error, the adaptive PI-based SMC is employed to replace the discontinuous control. Actually, the adaptive PI-based SMC offers a fast convergence of the sliding surface. Further, another advantage of the proposed controller lies in that its implementation only requires the online tuning PI parameters without acquiring the knowledge of bounds on system uncertainties. A linear second-order system is utilized as the estimated model to compensate for the process nonlinearity and estimate the control gain. The robust stability of the APISMC is proved through a Lyapunov stability analysis. Simulation results demonstrate that the modified SMC is superior to the original one for both positioning and tracking applications. Compared with the original, the proposed controller provides better performance—less chattering, faster response, and higher precision.


Author(s):  
Mohammad Sheikh Sofla ◽  
Seyed Mehdi Rezaei ◽  
Mohammad Zareinejad

Piezoelectric actuators (PEAs) are frequently used in a wide variety of micromanipulation systems. However their accuracy is limited due to hysteresis nonlinearity. Also investigation of the fundamental properties of the piezoceramics depicts that external mechanical loads cause inclination in hysteresis loop which can deteriorate tracking performance furthermore. A novel modeling and control approach is proposed in this paper, for precision trajectory tracking control of piezoelectric actuators under dynamic load condition. First the hysteresis nonlinear function based on Bouc-Wen hysteresis model is approximated by a Taylor series expansion. Then an adaptive trajectory tracking control is proposed based on the backstepping method using the developed mathematical model. The asymptotical stability in displacement tracking and robustness to the dynamic load disturbance can be provided using the proposed control approach. Experimental results are illustrated to verify the efficiency of the proposed method for practical applications.


2012 ◽  
Vol 70 (3) ◽  
pp. 1969-1976 ◽  
Author(s):  
D. H. Ji ◽  
J. H. Koo ◽  
W. J. Yoo ◽  
Ju H. Park

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