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On Decentralized Optimization for a Class of Multi-Subsystem Co-Design Problems

[+] Author Affiliations
Tianchen Liu, Shapour Azarm, Nikhil Chopra

University of Maryland, College Park, MD

Paper No. DETC2016-59905, pp. V02AT03A007; 13 pages
doi:10.1115/DETC2016-59905
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 42nd Design Automation Conference
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5010-7
  • Copyright © 2016 by ASME

abstract

Co-design refers to the process of integrating the optimization of the physical design as well as the controller for a system. In this paper, a new class of co-design problems with a multi-subsystem architecture is formulated and solved, which extends earlier works on models and solution approaches from single-system to multi-subsystem co-design. In this class, the design part in each subsystem has a strictly convex objective function with linear equality constraints. The control part of each subsystem belongs to a class of finite time-horizon Linear Quadratic Regulator (LQR) feedback control. A new multi-level decentralized model and method is proposed to obtain optimal or near-optimal solutions for this class of co-design problems. Details of the model and approach are demonstrated by a numerical as well as a more complex spring-mass-damper system example. Comparison of optimal results from both centralized and decentralized methods are presented and discussed.

Copyright © 2016 by ASME
Topics: Design , Optimization

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