Review of modeling and control of magnetostrictive actuators
Magnetostrictive actuators play an important role in the perception of usefulness of smart
materials and devices. Their applications are potentially wider than that of piezoelectric …
materials and devices. Their applications are potentially wider than that of piezoelectric …
A review of giant magnetostrictive injector (GMI)
G Xue, P Zhang, X Li, Z He, H Wang, Y Li, R Ce… - Sensors and Actuators A …, 2018 - Elsevier
Giant magnetostrictive material is a kind of excellent engineering material for its large
magnetostriction, fast response speed and high energy density. And giant magnetostrictive …
magnetostriction, fast response speed and high energy density. And giant magnetostrictive …
Adaptive identification and control of hysteresis in smart materials
Hysteresis hinders the effective use of smart materials in sensors and actuators. This paper
addresses recursive identification and adaptive inverse control of hysteresis in smart …
addresses recursive identification and adaptive inverse control of hysteresis in smart …
Compensation of hysteresis nonlinearity in magnetostrictive actuators with inverse multiplicative structure for Preisach model
Compensation of hysteresis nonlinearities in smart material based actuators presents a
challenging task for their applications. Many approaches have been proposed in the …
challenging task for their applications. Many approaches have been proposed in the …
Adaptive sliding-mode position control for piezo-actuated stage
X Chen, T Hisayama - IEEE Transactions on Industrial …, 2008 - ieeexplore.ieee.org
The piezo-actuated stage is composed of a piezoelectric actuator (PEA) and a positioning
mechanism (PM). Due to the existence of hysteretic nonlinearity in the PEA and the friction …
mechanism (PM). Due to the existence of hysteretic nonlinearity in the PEA and the friction …
Precision tracking control of shape memory alloy actuators using neural networks and a sliding-mode based robust controller
This paper presents a new approach to controlling shape memory alloy (SMA) actuators with
hysteresis compensation by using a neural network feedforward controller and a sliding …
hysteresis compensation by using a neural network feedforward controller and a sliding …
Control of systems with hysteresis via servocompensation and its application to nanopositioning
Partly motivated by nanopositioning applications in scanning probe microscopy systems, we
consider the problem of tracking periodic signals for a class of systems consisting of linear …
consider the problem of tracking periodic signals for a class of systems consisting of linear …
Adaptive control for uncertain continuous-time systems using implicit inversion of Prandtl-Ishlinskii hysteresis representation
In this note, an implicit inversion approach is introduced to avoid difficulties associated with
stability analysis in the direct application of inversion for operator-based hysteresis models …
stability analysis in the direct application of inversion for operator-based hysteresis models …
Dynamic ferromagnetic hysteresis modelling using a Preisach-recurrent neural network model
In this work, a Preisach-recurrent neural network model is proposed to predict the dynamic
hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator …
hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator …
Adaptive control for the systems preceded by hysteresis
Hysteresis hinders the effectiveness of smart materials in sensors and actuators. It is a
challenging task to control the systems with hysteresis. This note discusses the adaptive …
challenging task to control the systems with hysteresis. This note discusses the adaptive …