A Neural Network Based Dynamic Control Method for Soft Pneumatic Actuator with Symmetrical Chambers
Dynamic modeling and control of the soft pneumatic actuators are challenging research. In this paper, a neural network based dynamic control method used for a soft pneumatic actuator with symmetrical chambers is proposed. The neural network is introduced to create the dynamic model for predicting th...
Main Authors: | Yiqing Li, Yan Cao, Feng Jia |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Actuators |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-0825/10/6/112 |
Similar Items
-
A Dynamic Modeling Method for the Bi-Directional Pneumatic Actuator Using Dynamic Equilibrium Equation
by: Yiqing Li, et al.
Published: (2021-12-01) -
Mathematical Modeling of a Multi-Chamber Pneumatic Soft Actuator
by: Eduardo Miguel Sierra, et al.
Published: (2022-08-01) -
The Research on Soft Pneumatic Actuators in Italy: Design Solutions and Applications
by: Maria Paterna, et al.
Published: (2022-11-01) -
Pneumatic Soft Actuators With Kirigami Skins
by: Hesameddin Khosravi, et al.
Published: (2021-09-01) -
Soft Robotics: A Review of Recent Developments of Pneumatic Soft Actuators
by: James Walker, et al.
Published: (2020-01-01)