A model for voltage-to-displacement dynamics in piezoceramic actuators subject to dynamic-voltage excitations

By R. Mrad, H. Hu. 2002

168 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f161498d00dcf0e201a1159bf436490e7af2bec2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Chun-Yi Su
2. Subhash Rakheja
3. M. Al Janaideh
4. Santosh Devasia
5. Evangelos Eleftheriou
6. Xiaobo Tan
7. S. O. Reza Moheimani
8. Thanh Nho Do

In Control and Systems Engineering

1. Chun-Yi Su
2. Subhash Rakheja
3. M. Al Janaideh
4. S. O. Reza Moheimani
5. John S. Baras
6. Santosh Devasia
7. Evangelos Eleftheriou
8. Xiaobo Tan

In Electrical and Electronic Engineering

1. Santosh Devasia
2. John S. Baras
3. Xiaobo Tan
4. Subhash Rakheja
5. Chun-Yi Su
6. S. O. Reza Moheimani
7. M. Al Janaideh
8. Evangelos Eleftheriou

Citations in the corpus

• Development of the rate-dependent Prandtl–Ishlinskii model for smart actuators (2008, methodology): “The hysteresis in the majority of smart actuators and magnetic materials generally increases with increasing time rate of the input, while the output amplitude may also decrease [10, 14, 16].”
• A Survey of Control Issues in Nanopositioning (2007, methodology): “For applications that require a broadband compensation, a dynamic Preisach model [114]–[116], [123] must be”
• Modeling and control of hysteresis in magnetostrictive actuators (2004, background): “Mrad and Hu (2002) proposed 0005-1098/$ - see front matter ?”
• Tracking control of a piezoceramic actuator with hysteresis compensation using inverse Preisach model (2005, background): “Ben Mrad and Hu extended the Preisach model to a recursive form which is more suitable for real-time applications [9].”