Hierarchical hybrid modeling and control of flexible manufacturing systems

Author(s):  
Tina Paschedag ◽  
Matthias Rungger ◽  
Hao Ding ◽  
Olaf Stursberg
Author(s):  
A. Abhishek ◽  
Manish Kumar ◽  
Devendra P. Garg

This paper presents comprehensive and unified strategies to model, analyze, and control flexible manufacturing systems (FMSs) in an uncertain and dynamic environment using Petri Net (PN) based modeling. The proposed methodology enables PN models to accept and assimilate online data at execution time. A measurement system consisting of distributed sensory sources suitable for manufacturing processes is designed and an interface is developed of that system with the modeling software (SHARPE) and MATLAB's Simulink to enable realtime data acquisition and processing. The proposed strategies enable online parameter estimation to impart adaptive and intelligent learning capabilities to PN models.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Miao Liu ◽  
Shouguang Wang ◽  
Zhiwu Li

Analysis and control of deadlocks play an important role in the design and operation of automated flexible manufacturing systems (FMSs). In FMS, deadlocks are highly undesirable situations, which always cause unnecessary cost. The design problem of an optimal supervisor is in general NP-hard. A computationally efficient method often ends up with a suboptimal one. This paper develops a deadlock prevention policy based on resources reallocation and supervisor reconfiguration. First, given a plant model, we reallocate the marking of each resource place to be one, obtaining a net model whose reachable states are much less than that of the original one. In this case, we find a controlled system for it by using the theory of regions. Next, the markings of the resource places in the controlled system are restored to their original ones. Without changing the structure of the obtained controlled system, we compute the markings of the monitors gradually, which can be realized by two algorithms proposed in this paper. Finally, we decide a marking for each monitor such that it makes the controlled system live with nearly optimal permissive behavior. Two FMS examples are used to illustrate the application of the proposed method and show its superior efficiency.


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