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Machines
Special Issues
Control of Electro-Hydraulic Systems
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Control of Electro-Hydraulic Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: 17 May 2024 | Viewed by 3835

Special Issue Editors

Prof. Dr. Marcus Geimer

E-Mail Website
Guest Editor
Institute of Mobile Machines, Karlsruhe Institute of Technology KIT, 76131 Karlsruhe, Germany
Interests: controls, drives and methods for efficient and sustainable mobile machines
Prof. Dr. Zheng Chen

E-Mail Website
Guest Editor
The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
Interests: advanced control of robotic and mechatronic systems; nonlinear adaptive robust control; motion control; trajectory planning; telerobotics; hydraulic system; precision mechatronic system; soft actuator and robot; mobile manipulator; underwater robot; exoskeleton
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hydraulic drives are widely used in various applications as they have many benefits, such as high power density, robustness, and a small installation space. Electro-hydraulic systems have a high potential to combine the advantages of hydraulics with the sustainability of emission-free electric energy sources.

The control of these systems is important to ensure the efficiency, precision, safety, and reliability of the drives. Due to the integration of electric actuation, new possibilities with high potential for advanced system control arise, which can be beneficial for individual components as well as integrated systems.

Recently, there have been advances in the development of new control algorithms for electro-hydraulic systems due to widely available sensor systems and computing power. This opens new possibilities for predictive control and data-based optimization algorithms. These algorithms can improve the overall efficiency and precision of the systems while reducing maintenance and energy demand.

Furthermore, mechanical deterioration can be detected, identified, and factored into the control based on the response of the system.

This Special Issue aims to explore the research in the field of the control of electro-hydraulic systems. Papers on one or more of the following subjects are especially welcomed:

  • Sustainable drives;
  • Energy-efficient control;
  • Predictive and precise control technologies;
  • Data-based control algorithms;
  • New sensors for electro-hydraulic systems;
  • Fault prediction in electro-hydraulic systems;
  • Intelligent control electro-hydraulic systems;
  • Precise robust control algorithms;

Prof. Dr. Marcus Geimer
Prof. Dr. Zheng Chen
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. Machines 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.

Published Papers (2 papers)

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Research

16 pages, 4348 KiB  
Article
Research on High-Precision Position Control of Valve-Controlled Cylinders Based on Variable Structure Control
by Bingwei Gao, Wei Zhang, Lintao Zheng and Hongjian Zhao
Machines 2023, 11(6), 623; https://doi.org/10.3390/machines11060623 - 04 Jun 2023
Cited by 3 | Viewed by 1236
Abstract
During the operation of valve-controlled cylinder position systems, there are some problems, such as uncertainty and time-varying of the system parameters, imprecise modeling, and external interference. These problems will affect the position loading accuracy and safety reliability of the electro-hydraulic position servo system. [...] Read more.
During the operation of valve-controlled cylinder position systems, there are some problems, such as uncertainty and time-varying of the system parameters, imprecise modeling, and external interference. These problems will affect the position loading accuracy and safety reliability of the electro-hydraulic position servo system. This paper used the position servo system of a valve-controlled cylinder as the research object, and a mathematical model was established. Then, a sliding mode variable structure controller and dynamic soft variable structure controller were designed, and the Grey Wolf algorithm was used to adjust the controller parameters. The control effect of the two controllers in the valve-controlled cylinder system was verified with a simulation and experiment. The results showed that compared with the sliding mode variable structure controller, the dynamic soft variable structure controller had higher control precision and better stability and avoided the chattering phenomenon. Full article
(This article belongs to the Special Issue Control of Electro-Hydraulic Systems)
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15 pages, 4796 KiB  
Article
Online PID Tuning Strategy for Hydraulic Servo Control Systems via SAC-Based Deep Reinforcement Learning
by Jianhui He, Shijie Su, Hairong Wang, Fan Chen and BaoJi Yin
Machines 2023, 11(6), 593; https://doi.org/10.3390/machines11060593 - 29 May 2023
Cited by 1 | Viewed by 2027
Abstract
Proportional–integral–derivative (PID) control is the most common control technique used in hydraulic servo control systems. However, the nonlinearity and uncertainty of the hydraulic system make it challenging for PID control to achieve high-precision control. This paper proposes a novel control strategy that combines [...] Read more.
Proportional–integral–derivative (PID) control is the most common control technique used in hydraulic servo control systems. However, the nonlinearity and uncertainty of the hydraulic system make it challenging for PID control to achieve high-precision control. This paper proposes a novel control strategy that combines the soft actor-critic (SAC) reinforcement learning algorithm with the PID method to address this issue. The proposed control strategy consists of an upper-level controller based on the SAC algorithm and a lower-level controller based on the PID control method. The upper-level controller continuously tunes the control parameters of the lower-level controller based on the tracking error and system status. The lower-level controller performs real-time control for the hydraulic servo system with a control frequency 10 times higher than the upper controllers. Simulation experiments demonstrate that the proposed SAC-PID control strategy can effectively address disturbances and achieve high precision control for hydraulic servo control systems in uncertain working conditions compared with PID and fuzzy PID control methods. Therefore, the proposed control strategy offers a promising approach to improving the tracking performance of hydraulic servo systems. Full article
(This article belongs to the Special Issue Control of Electro-Hydraulic Systems)
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