Special Issue "Advanced Control and Multiobjective Optimization of Multiple Industrial Robots"

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

Deadline for manuscript submissions: closed (15 June 2020).

Special Issue Editors

Dr. Yanling Wei
Website
Guest Editor
School of Automation, Southeast University, 210096 Nanjing, China
Interests: modeling of nonlinear systems; complex networks; robust and reliable control and filtering; robotics; model approximation and their industrial applications
Prof. Dr. Jinjun Shan
Website
Guest Editor
Department of Earth and Space Science and Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Interests: dynamics; control and navigation; smart materials and structures; space instrumentation
Prof. Dr. Hamid Reza Karimi
grade Website
Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, via La Masa 1, 20156 Milan, Italy
Interests: control theory; mechatronics; sensors and actuators; motion control; vibration control; vehicle dynamics; fault detection; health monitoring; wind energy
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Special Issue Information

Dear Colleagues,

With the integration of mechanical, information, electronics, control, intelligence, and other interdisciplinary studies, industrial robotic applications are becoming increasingly complex in both theoretical and practical aspects. In particular, integrated collaborative robots, called multiple industrial robots (MIRs), include different typologies of robotic systems—e.g., multiple industrial manipulators, i.e., mobile robots with manipulators on board, or teams of autonomous vehicles, have been growing increasingly in various applications in recent years. The main motivation for employing MIRs is that they can be used to increase system effectiveness. In particular, with respect to a single autonomous robot or a team of noncooperating robots, MIRs can better perform a mission in terms of time and quality and can achieve tasks not executable by a single robot (e.g., moving a large object) or can take advantage of distributed sensing and actuation. A wider spatial area can also be covered more efficiently if more robots are deployed, and heterogeneous capabilities can be distributed across the team without having to dramatically change the payload (and thus price) of individual robots.

In response to advanced technology and application driving, several control and coordination strategies have already been developed for forming robots in order to collaboratively perform specific tasks using local interaction rules. The contributions to this Special Issue are expected to provide the latest results in collective analysis, estimation, optimization, coordinated control, and intelligent control of complex MIRs. Topics to be covered in this Special Issue include but are not limited to:

  • Mathematical modeling of complex MIRs;
  • Reduced modelling of large-scale MIRs;
  • Coordinated control of heterogeneous MIRs;
  • Decentralized control of MIRs;
  • Analytical method of delay-coupled MIRs;
  • MIRs with event-triggered computing;
  • Estimation in MIRs;
  • Partial synchronization of MIRs;
  • Output regulation and optimization of MIRs;
  • Fault diagnostics of MIRs;
  • Safety and collision avoidance of MIRs;
  • Intelligent control of MIRs.
Dr. Yanling Wei
Prof. Dr. Jinjun Shan
Prof. Dr. Hamid Reza Karimi
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 papers will be 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. Electronics 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 1500 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

  • robotic control
  • decentralized control
  • collective behaviors of complex networks
  • output regulation
  • intelligent control
  • synchronization of heterogeneous robot networks
  • fault diagnosis of robot systems.

Published Papers (2 papers)

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Research

Open AccessArticle
Two Open Solutions for Industrial Robot Control: The Case of PUMA 560
Electronics 2020, 9(6), 972; https://doi.org/10.3390/electronics9060972 - 11 Jun 2020
Abstract
In this paper we present two different, software and reconfigurable hardware, open architecture approaches to the PUMA 560 robot controller implementation, fully document them and provide the full design specification, software code and hardware description. Such solutions are necessary in today’s robotics and [...] Read more.
In this paper we present two different, software and reconfigurable hardware, open architecture approaches to the PUMA 560 robot controller implementation, fully document them and provide the full design specification, software code and hardware description. Such solutions are necessary in today’s robotics and industry: deprecated old control units render robotic installations useless and allow no upgrades, advancements, or innovation in an inherently innovative ecosystem. For the sake of simplicity, just the first robot axis is considered. The first approach described is a PC solution with data acquisition I/O board (Humusoft MF634). This board is supported with Matlab Real-Time Windows Toolbox for real-time applications and thus whole controller was designed in Matlab environment. The second approach is a robot controller developed on field programmable gate arrays (FPGA) board. The complexity of FPGA design can be overcome by using a third party software package, such as self-developed Matlab FPGA Real Time Toolbox. In both cases, parameters of motion controller are calculated by using simulation of the PUMA 560 robot first axis motion. Simulations were conducted in Matlab/Simulink using Robotics Toolbox. Full article
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Open AccessArticle
Nonsmooth Current-Constrained Control for a DC–DC Synchronous Buck Converter with Disturbances via Finite-Time-Convergent Extended State Observers
Electronics 2020, 9(1), 16; https://doi.org/10.3390/electronics9010016 - 23 Dec 2019
Cited by 1
Abstract
This study investigates the problem of overlarge current protection for a DC–DC synchronous buck converter with the existence of uncertainties and disturbances. Aiming to deal with the hardware damage in the electric circuit of a DC–DC buck that may be caused by overlarge [...] Read more.
This study investigates the problem of overlarge current protection for a DC–DC synchronous buck converter with the existence of uncertainties and disturbances. Aiming to deal with the hardware damage in the electric circuit of a DC–DC buck that may be caused by overlarge transient current, a new nonsmooth current-constrained control (NCC) algorithm is proposed to replace the traditional ones, which use conservative coefficients to satisfy current constraint, leading to a sacrifice of dynamic performance. Based on the homogeneous system technique, a nonsmooth state feedback controller is improved by adding a penalty term that prompts the adaptive gain of the controller according to the inductor current and current constraint. Then by using two finite-time extended state observers (FTESO), the unmatched disturbances and matched disturbances can be compensated to enhance the robustness of the DC–DC synchronous buck converter. The effect of proposed scheme has been verified by experimental results. Full article
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