Abstract
Soft actuators driven by pneumatic pressure have been shown to have many potential applications as actuators for mechanical systems in medical, biological, agriculture, welfare fields and so on, for they can ensure high safety for fragile objects from their low mechanical impedance. In this paper, a miniature pneumatic bending soft actuator is reviewed, and a nonlinear model of which is identified using nonlinear model based on support vector regression (SVR). That is, first, characteristic of miniature pneumatic bending soft actuator is analyzed, a new output variable is defined based on characteristic analysis, and a nonlinear input output model is presented. Second, motion characteristics of miniature pneumatic bending soft actuator are studied by experiment. Finally, based on experimental data, the present nonlinear model of miniature pneumatic bending soft actuator is identified using data-based SVR model, where a generalized Gaussian function is used as the kernel function.
Original language | English |
---|---|
Pages (from-to) | 1029-1039 |
Number of pages | 11 |
Journal | International Journal of Innovative Computing, Information and Control |
Volume | 10 |
Issue number | 3 |
Publication status | Published - Jan 1 2014 |
Keywords
- Characteristic analysis and modeling
- Miniature pneumatic bending soft actuator
- Nonlinear model
- Support vector regression
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics