The Application of Control Systems in Robots

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 2276

Special Issue Editors

Department of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, Cincinnati, OH 45221, USA
Interests: guidance, navigation, and fault-tolerant control of multi-robot systems; design and development of space robotics; artificial intelligence applications
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Guest Editor
Department of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, Cincinnati, OH 45221, USA
Interests: robotics; guidance, navigation, and control of autonomous systems; multi-robot systems; applications of artificial intelligence
Department of Robot and Smart System Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Interests: navigation; computer vision; vision-based navigation; path planning; collision avoidance; multi-agent system; swarm; target tracking

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of our journal focused on the latest advancements in control strategies for robot applications. In recent years, robotic platforms have found significant utility across a wide range of fields including military, industrial, constructional, agricultural, medical, and space. This can be attributed to the continuous development of sensors and actuators, as well as the remarkable progress in computing power. These robotic platforms are increasingly required to undertake complex and collaborative missions in uncertain, dangerous, and extreme environments. To meet these challenges and ensure high levels of performance, it is essential for control systems in robots to provide reliable, robust, efficient, and intelligent solutions.

The aim of this Special Issue is to foster discussions on state-of-the-art control strategies for robot applications. We invite researchers to submit their original research articles and reviews on a broad range of topics related to this theme. Some of the areas of interest include, but are not limited to:

  • Guidance, navigation, and control (GNC) in robotics;
  • Multi-robot system operations and networked control system for collaborative tasks;
  • Collision-free dynamic path planning in uncertain environments;
  • Fault-tolerant control system design;
  • Mechanical, electrical, and computer programming aspects for robot control;
  • Perception, processing, and action as well as cybernetics for cyber-physical systems;
  • Real-time computing;
  • Advanced sensor fusion and control techniques, including adaptive control, model predictive control (MPC), and artificial intelligence (AI)-based control.

We eagerly anticipate your contributions to this Special Issue. By sharing your expertise and research findings, we can collectively advance the field of robot control and foster innovation in this rapidly evolving domain.

Dr. Donghoon Kim
Dr. Daegyun Choi
Dr. Kyuman Lee
Guest Editors

Manuscript Submission Information

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Keywords

  • robotics
  • guidance, navigation, and control
  • multi-robot system
  • sensor fusion
  • path planning
  • fault-tolerant control
  • ai-based control
  • cybernetics for cyber-physical systems
  • autonomy

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Published Papers (2 papers)

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Research

20 pages, 9479 KiB  
Article
Control Parameters Design of Spraying Robots Based on Dynamic Feedforward
by Yu Chen, Liping Chen, Yu Chen, Jianwan Ding, Yanbing Liu and Dong Yan
Electronics 2024, 13(8), 1583; https://doi.org/10.3390/electronics13081583 - 21 Apr 2024
Viewed by 837
Abstract
The positioning and velocity accuracy of spraying robots determine the quality of the coating, and the influence of the robotic dynamic characteristics on control precision is significant. This paper presents a method of linearizing dynamic characteristics into feedforward coefficients and designs a dual-loop [...] Read more.
The positioning and velocity accuracy of spraying robots determine the quality of the coating, and the influence of the robotic dynamic characteristics on control precision is significant. This paper presents a method of linearizing dynamic characteristics into feedforward coefficients and designs a dual-loop control system consisting of an inner velocity loop and an outer position loop. The system is divided into three sections: a cascaded section, a feedback section, and a feedforward section. The cascaded section eliminates the nonlinear characteristics of the system; the feedback section ensures the stability of the system; the feedforward section compensates for the internal errors of the system. The main innovation of this paper lies in proposing an offline parameter tuning method, which avoids online parameter adjustments and significantly enhances the real-time performance of the control system. Additionally, this method does not require specific physical information of the system, thus avoiding the cumbersome process of parameter adjustment. The experimental results demonstrate that when facing different high-speed trajectories, the proposed control system exhibits a significant improvement in control accuracy compared to other advanced control schemes. Full article
(This article belongs to the Special Issue The Application of Control Systems in Robots)
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15 pages, 971 KiB  
Article
Non-Fragile Prescribed Performance Control of Robotic System without Function Approximation
by Jianjun Zhang, Pengyang Han, Zhonghua Wu, Bo Su, Jinxian Yang and Juan Shi
Electronics 2024, 13(8), 1417; https://doi.org/10.3390/electronics13081417 - 9 Apr 2024
Viewed by 823
Abstract
In order to address the fragility issues associated with the current prescribed performance control (PPC) strategy and ensure both transient and steady-state performance of the tracking error, a non-fragility prescribed performance control scheme is proposed. A non-fragile prescribed performance control method for robotic [...] Read more.
In order to address the fragility issues associated with the current prescribed performance control (PPC) strategy and ensure both transient and steady-state performance of the tracking error, a non-fragility prescribed performance control scheme is proposed. A non-fragile prescribed performance control method for robotic systems with model uncertainties and unknown disturbances is developed. This method not only addresses the inherent vulnerability defects of the existing prescribed performance control but also effectively reduces the computational complexity of the controller. Firstly, addressing the fragility issues of existing PPC, a new non-fragile prescribed performance control strategy is proposed. To address the fragile issue with the current PPC, the shift function is employed to handle the tracking error. Based on the non-fragile PPC mentioned above, a new prescribed performance controller is designed without the requirement for approximation or estimation. This effectively reduces the complexity of controller design. At last, the feasibility of achieving non-fragile prescribed performance is verified through stability analysis, and the superiority of the designed controller is confirmed through simulation comparisons. The results show that the designed controller effectively resolves the control singularity issue arising from the inherent limitations of the PPC. Full article
(This article belongs to the Special Issue The Application of Control Systems in Robots)
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