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Condition-Based Robust Supervisory Control For Automated Unreliable Manufacturing Systems

Bashiri, Abdullateef H, Bashiri
http://orcid.org/0000-0002-7857-2258
http://rave.ohiolink.edu/etdc/view?acc_num=akron1470425417

Abstract Details

2016, Doctor of Philosophy, University of Akron, Mechanical Engineering.
Over the course of recent research history, the emphasis of previous studies was to design supervisory controllers that can solve any deadlock issue in automated manufacturing systems (AMSs). The majority of previous research studies assume that allocated resources do not fail, while the minority of work has dealt with unreliable resources in the class of AMSs. In this research, we focus our work on avoiding deadlocks in AMSs that have a single unreliable resource using condition-based robust supervisory controller for automated unreliable manufacturing systems. The robust supervisory controller addresses in this research avoids deadlocks and at the same time imposes less restrictive constraints on the system, so more admissible states are allowed into the system. To increase the permissiveness in AMSs, we divided the system into three states (failure-free, k-steps away from failure, and failure states) which are besides between states transition policies together compose the Condition-Based policy (CB^2) and by doing so, high flexibility and permissiveness policy can be gained over the original one (RO^2). Specifically, first and third states’ policies consist of a conjunction of two constraint sets that is similar to the one developed in Wang, Chew, Lawley (2008) [50]. However, the resources ordering in this paper is based on two new regions (region of sharing (ROS) and region of non-sharing (RNS)) that differs than what introduces in (RO^2). The second state’s policy which is the transition state (k-steps to fail state) is our contribution, that is, a combination between the Transition Banker’s Algorithm (TBA) and a conjunction of two constraint sets such that addresses in [49]. Furthermore, a great deal of work is dedicated toward the transition from a state to another to guarantee a deadlock-free and safe transition system. We obtained results from experimental simulation design to compare system performance under CB^2 and RO^2. The result ended up that CB^2 observes increasing in the total produced part-types and the non-failure dependent parts in two different systems. However, CB^2 indicates decreasing in the production rate of failure dependent parts. Thus, if the concern is to increase the number of produce FD parts in the system RO^2 is the best choice. Generally, CB^2 increases the permissiveness and reduces the restrictions in AMSs when the systems of interest are single-unit resource allocation systems.
Shengyong Wang, Associate Professor (Advisor)
Scott Sawyer, Associate Professor (Committee Member)
Ling Chen, Associate Professor (Committee Member)
Peng Zhenmeng, Assistant Professor (Committee Member)
Espanol Malena, Assistant Professor (Committee Member)
228 p.
Engineering

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Citations

  • Bashiri, Bashiri, A. H. (2016). Condition-Based Robust Supervisory Control For Automated Unreliable Manufacturing Systems [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1470425417

    APA Style (7th edition)

  • Bashiri, Bashiri, Abdullateef. Condition-Based Robust Supervisory Control For Automated Unreliable Manufacturing Systems. 2016. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1470425417.

    MLA Style (8th edition)

  • Bashiri, Bashiri, Abdullateef. "Condition-Based Robust Supervisory Control For Automated Unreliable Manufacturing Systems." Doctoral dissertation, University of Akron, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1470425417

    Chicago Manual of Style (17th edition)

akron1470425417
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This open access ETD is published by University of Akron and OhioLINK.