Research on assembly quality adaptive control system for complex mechanical products assembly process under uncertainty

Xiao-qiao, Wang; Liu, Mingzhou; Ge, Maogen; Ling, Lin; Liu, Conghu

doi:10.1016/j.compind.2015.09.001

Cited by 32 publications

(10 citation statements)

References 39 publications

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“…In [194], the authors argue that the diversity and uncertainty of data over the dimension, damage degree and remaining life characteristics of used parts make the remanufacturing process route decision more complicated, and they propose a model for finding the optimal remanufacturing route. Due to similar uncertainties of complex mechanical products, the authors of [198] suggest an assembly quality adaptive control system, in order to improve the products' assembly precision, stability and efficiency. In [197], the authors adopt a visual product architecture representation in combination with a PLM system data to support the development of a family of products.…”

Section: Stationary Robotsmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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Section: Stationary Robotsmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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“…This is primarily essential due to the fact that the existing objective contradictions between technologists and designers about the certainty of optimum design can not be ignored at the stage of assembling devices according to their functional purposes. Thus, study [23] emphasizes the fact that uncertainties arising in the process of assembling mechanical systems should be accounted to improve the assembly accuracy. To solve the above problem, it is suggested to use an assembly quality adaptive control system (A_QACS).…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Synthesis of integral quality index of parametric system state in conditions of situational uncertainty

Skachkov¹,

Chepkyi²,

Волков

et al. 2016

EEJET

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“…With the increasing demand for automation, safety, efficiency and production cycle in modern industrial assembly, various remarkable methods in the context of assembly control have been developed to achieve desired performance (Qiao et al, 2014a;Wang et al, 2015;Li et al, 2015aLi et al, , 2015bMa et al, 2014;Qiao et al, 2015Qiao et al, , 2014bMa et al, 2015;Chandra et al, 2003) and the references therein. In particular, cyber technologies and real-time communication networks have been used in the manufacturing assembly processes to meet the above requirements.…”

Section: Introductionmentioning

confidence: 99%

Guaranteed cost design for model-based cyber-physical assembly: a convex optimization approach

Liu

2016

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Article information:To cite this document: Bin Liu , (2016),"Guaranteed cost design for model-based cyber-physical assembly: a convex optimization approach", Assembly Automation, Vol. 36 Iss 3 pp. -Permanent link to this document: http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to propose a guaranteed cost control design procedure for model-based cyber-physical assembly systems. In order to reflect the cyber-physical environment, the network-induced delays and disturbances are introduced in the mathematical model.Design/methodology/approach -Based on the linear matrix inequality approach, the guaranteed cost controller is designed such that the guaranteed cost can be satisfied and the corresponding convex optimization algorithm is provided. Moreover, H-infinity theory is employed to deal with the disturbance with the given H-infinity attenuation level.Findings -By constructing appropriate Lyapunov-Krasovskii functionals, delaydependent sufficient conditions are established in terms of linear matrix inequalities and the controller design procedure is given.Originality/value -A simplified cyber-physical assembly model is given, based on which the designed controller can allow us to control the closed-loop cyber-physical assembly systems with the guaranteed cost.

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Research on assembly quality adaptive control system for complex mechanical products assembly process under uncertainty

Cited by 32 publications

References 39 publications

Data Management in Industry 4.0: State of the Art and Open Challenges

Data Management in Industry 4.0: State of the Art and Open Challenges

Synthesis of integral quality index of parametric system state in conditions of situational uncertainty

Guaranteed cost design for model-based cyber-physical assembly: a convex optimization approach

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