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Actuators
Special Issues
Intelligent Control for Pneumatic Servo System
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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: 31 August 2025 | Viewed by 979

Special Issue Editors

Prof. Dr. Satoru Shibata

E-Mail Website
Guest Editor
Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan
Interests: intelligent control; welfare engineering; man-machine Interface
Special Issues, Collections and Topics in MDPI journals
Dr. Shenglin Mu

E-Mail Website
Guest Editor
Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan
Interests: control engineering; evolutionary optimization theory; soft computing
Special Issues, Collections and Topics in MDPI journals

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Actuators is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

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Published Papers (2 papers)

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Research

21 pages, 1927 KiB  
Article
A Study on a Variable-Gain PID Control for a Pneumatic Servo System Using an Optimized PSO-Type Neural Network
by Shenglin Mu, Satoru Shibata, Daisuke Baba and Rikuto Oshita
Actuators 2025, 14(5), 250; https://doi.org/10.3390/act14050250 - 16 May 2025
Viewed by 71
Abstract
This study investigates the application of proportional–integral–derivative (PID) control enhanced with an optimized particle swarm optimization (OPSO)-type neural network (NN) to improve the control performance of a pneumatic servo system. Traditional PID methods struggle with inherent nonlinearities in pneumatic servo systems. To address [...] Read more.
This study investigates the application of proportional–integral–derivative (PID) control enhanced with an optimized particle swarm optimization (OPSO)-type neural network (NN) to improve the control performance of a pneumatic servo system. Traditional PID methods struggle with inherent nonlinearities in pneumatic servo systems. To address this limitation, we integrate two OPSO-type NNs within the PID framework, thereby developing a robust control strategy that compensates for these nonlinear characteristics. The OPSO-type NNs are particularly efficient in solving complex optimization problems without requiring differential information, demonstrating superior simplicity and efficacy compared to traditional methods, such as genetic algorithms. In our approach, one of the OPSO-type NNs is utilized to tune the PID controller gains, while the other adjusts the control output. The experimental results show that the proposed method enhances the position control accuracy of the pneumatic servo system. Furthermore, this approach holds promise for improving the responsiveness, stability, and disturbance suppression capabilities of pneumatic systems, paving the way for advanced control applications in this field. Full article
(This article belongs to the Special Issue Intelligent Control for Pneumatic Servo System)
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20 pages, 2524 KiB  
Article
Adaptive Nonlinear Friction Compensation for Pneumatically Driven Follower in Force-Projecting Bilateral Control
by Daisuke Haraguchi and Yuki Monden
Actuators 2025, 14(3), 151; https://doi.org/10.3390/act14030151 - 18 Mar 2025
Viewed by 245
Abstract
Force-projecting bilateral control is an effective method for enhancing the positioning rigidity and stability of teleoperation systems equipped with compliant pneumatically driven followers. However, friction in the pneumatic actuation mechanism has caused a deterioration in force reproducibility between the leader and follower. To [...] Read more.
Force-projecting bilateral control is an effective method for enhancing the positioning rigidity and stability of teleoperation systems equipped with compliant pneumatically driven followers. However, friction in the pneumatic actuation mechanism has caused a deterioration in force reproducibility between the leader and follower. To solve this problem, this study proposes a practical method of nonlinear friction compensation in force-projecting bilateral control to improve the force reproducibility. The proposed method generates two friction compensation forces: one based on the target admittance velocity from the leader and the other based on the actual velocity of the follower. These forces are seamlessly switched according to the dynamic state of the system to compensate for the follower’s driving force. This enables improved force reproducibility in any motion states of the system while maintaining the advantage of force-projecting bilateral control, which eliminates the need for external force measurement on the follower side. Experiments were conducted using a 1-DOF bilateral control device consisting of an electric linear motor and a pneumatic cylinder, including free motion and contact operations with two types of environments, demonstrating the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Intelligent Control for Pneumatic Servo System)
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