MODELING OF HOLONIC MANUFACTURING CONTROL SYSTEMS CONSIDERING RECONFIGURATION AND TIMING CONSTRAINTS

Automation and control systems(ACSs) must ensure the fulfillment of the current requirements in manufacturing systems, such as flexibility, distributed architecture, and agility in response to changes imposed by the market or the inevitable occurrence of faults. In this context, one solution to design ACSs is a combination of techniques such as holonic control system (HCS) and active fault-tolerant control system (AFTCS). In preview studies, the authors proposed a procedure to design an active holonic control system (AHCS). AHCS takes into account mechanisms to deal with aspects such as reuse of models, reconfigurability, autonomy, modularity, decentralization, and scalability. The procedure combines bottom-up and top-down approaches using Petri nets technique and its extensions. However, the development of a new mechanism is required to optimize (i) the reconfiguration regarding the holarchies composition problem, and (ii) the execution of productive processes meeting the timing constrains. Therefore, this work presents an overview of AHCS and concentrates on description of this mechanism. An example of application in flexible manufacturing system (FMS) is used to demonstrate the advantages of this proposal. Keywords— system modeling, reconfiguration, holon, Petri nets, manufacturing system, timing constraints.

[1]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[2]  Fu-Shiung Hsieh,et al.  Dynamic composition of holonic processes to satisfy timing constraints with minimal costs , 2009, Eng. Appl. Artif. Intell..

[3]  Armando W. Colombo,et al.  A solution to holonic control systems , 2001, ETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597).

[4]  Julio Arakaki,et al.  Modeling of active holonic control systems for intelligent buildings , 2012 .

[5]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[6]  Catalina M. Lladó,et al.  PIPE v 2 . 5 : a Petri Net Tool for Performance Modeling , 2007 .

[7]  René David,et al.  Petri nets for modeling of dynamic systems: A survey , 1994, Autom..

[8]  Ivar Jacobson,et al.  Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series) , 2005 .

[9]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[10]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[11]  Ivar Jacobson,et al.  The Unified Modeling Language User Guide , 1998, J. Database Manag..

[12]  Paulo E. Miyagi,et al.  A Procedure for Modeling of Holonic Control Systems for Intelligent Building (HCS-IB) , 2011 .

[13]  Escola Politécnica,et al.  PROJETO DE SISTEMA ATIVO DE CONTROLE HOLÔNICO PARA SISTEMAS PRODUTIVOS , 2011 .

[14]  James H. Christensen,et al.  HMS/FB Architecture and its Implementation , 2003 .

[15]  Paulo E. Miyagi,et al.  Design of Active Holonic Fault-Tolerant Control Systems , 2011, DoCEIS.

[16]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..