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: 25 October 2024 | Viewed by 238

Special Issue Editors


E-Mail Website
Guest Editor
Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan
Interests: intelligent control; welfare engineering; man-machine interface

E-Mail Website
Guest Editor
Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan
Interests: control engineering; evolutionary optimization theory; soft computing

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

Manuscript Submission Information

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Keywords

  • pneumatic servo system
  • intelligent control
  • adaptation to parameter fluctuation
  • compensation of nonlinearity
  • high-precision positioning control

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Adaptive Nonlinear Dynamics Compensation for Pneumatically Driven Follower in Force-Projecting Bilateral Control
Authors: Daisuke Haraguchi, Yuki Monden
Affiliation: National Institute of Technology, Tokyo College
Abstract: This study proposes a practical method of dynamics compensation in force-projecting bilateral control with pneumatically driven follower to enhance the system transparency.

Title: Improving Hydraulic and Pneumatic Actuation Performance through Increased Dissipative Power
Authors: Michael T. Fox, Edwin K. P. Chong
Affiliation: Colorado State University
Abstract: We investigate more efficient hydraulic actuation on mobile platforms. Our analysis identifies a single active sizing constraint at maximum efficiency. Constraint relaxation is justified by proposing the inerter to increase dissipative load. A transfer function in the reference indicates that increased inertia reduces dissipative load while inerter friction increases it. Three modes of friction are studied along with inertia of the inerter mechanism found in the linear hydraulic actuator. We investigate dissipative power and sensitivity. Because the mechanism works like the electro-mechanical actuator ball-screw and may improve dynamics of the pneumatic actuator, both technologies are investigated with the hydraulic actuator.

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