Intelligent Control for Pneumatic Servo System
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".
Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 828
Special Issue Editors
Interests: intelligent control; welfare engineering; man-machine interface
Special Issue Information
Dear Colleagues,
Pneumatic actuators are widely used in practical applications because they are small, have a relatively large output which can be easily obtained, and they are inexpensive and easy to use. Its applications are expanding from conventional simple work to fields requiring more advanced control. Along with this, several control methods have been applied to improve the control performance of pneumatic servo systems. However, the pneumatic servo system inherently includes parameter fluctuation characteristics and nonlinearity, such as low stiffness characteristics due to air compressibility, pressure response delay due to control valves, and friction of cylinder sliding parts. Therefore, it is difficult to achieve high-precision positioning control and speed control with conventional linear control methods. In order to obtain the desired control performance for such a control system, it is necessary to add parameter optimization functions to the conventional linear control method, integrate methods to compensate for nonlinearity, or use several AI techniques with nonlinear compensation capabilities. The present Special Issue features papers which provide research approaches on intelligent pneumatic servo control methods with adaptive, optimal, learning, and nonlinearity compensating functions that can mitigate the adverse effects of parameter fluctuation characteristics and nonlinearity on control.
Prof. Dr. Satoru Shibata
Dr. Shenglin Mu
Guest Editors
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Keywords
- pneumatic servo system
- intelligent control
- adaptation to parameter fluctuation
- compensation of nonlinearity
- high-precision positioning control
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