A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design
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University of Cincinnati / OhioLINK
2018
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535468984437623 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15354689844376232021-08-03T07:08:29Z A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design Sherbaf Behtash, Mohammad Mechanical Engineering Decomposition-based Design Optimization Multidisciplinary Dynamic Systems Co-Design Large-Scale Dynamic Systems Plug-in Hybrid Electric Vehicle Dynamic systems incorporating physical plant and control systems should be designed in an integrated way to yield desirable and feasible solutions. Conventionally, these systems are designed in a sequential manner which often fails to produce system-level optimal solutions. However, combined physical and control system design (co-design) methods are able to manage the interactions between the physical artifact and the control part and consequently yield superior optimal solutions. Small-scale to moderate-scale dynamic systems can be addressed by using existing co-design methods effectively; nonetheless, these methods can be impractical and sometimes impossible to apply to large-scale dynamic systems which may hinder us from determining the optimal solution. This work addresses this issue by developing a new algorithm that combines decomposition-based optimization with a co-design method to optimize large-scale dynamic systems. Specifically, the new formulation applies a decomposition-based optimization strategy known as Analytical Target Cascading (ATC) to a co-design method known as Multidisciplinary Dynamic System Design Optimization (MDSDO) for the co-design of a representative large-scale dynamic system consisting of a plug-in hybrid-electric vehicle (PHEV) powertrain. Moreover, since many of dynamic systems may consist of several time-dependent linking variables among their subsystems, a new consistency measure for the management of such variables has also been proposed. To validate the accuracy of the presented method, the PHEV powertrain co-design problem has been studied with both simultaneous and ATC methods; results from the case studies indicate the new optimization formulation's ability in finding the system-level optimal solution. 2018-10-25 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535468984437623 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535468984437623 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Mechanical Engineering Decomposition-based Design Optimization Multidisciplinary Dynamic Systems Co-Design Large-Scale Dynamic Systems Plug-in Hybrid Electric Vehicle |
| spellingShingle |
Mechanical Engineering Decomposition-based Design Optimization Multidisciplinary Dynamic Systems Co-Design Large-Scale Dynamic Systems Plug-in Hybrid Electric Vehicle Sherbaf Behtash, Mohammad A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| author |
Sherbaf Behtash, Mohammad |
| author_facet |
Sherbaf Behtash, Mohammad |
| author_sort |
Sherbaf Behtash, Mohammad |
| title |
A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| title_short |
A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| title_full |
A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| title_fullStr |
A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| title_full_unstemmed |
A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design |
| title_sort |
decomposition-based multidisciplinary dynamic system design optimization algorithm for large-scale dynamic system co-design |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2018 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535468984437623 |
| work_keys_str_mv |
AT sherbafbehtashmohammad adecompositionbasedmultidisciplinarydynamicsystemdesignoptimizationalgorithmforlargescaledynamicsystemcodesign AT sherbafbehtashmohammad decompositionbasedmultidisciplinarydynamicsystemdesignoptimizationalgorithmforlargescaledynamicsystemcodesign |
| _version_ |
1719454614811574272 |