Electrical Engineering and Computer Science

Control Seminar

Control Co-Design: A Step Change in Active Engineering System Design Capability

James AllisonAssociate Professor of Industrial and Enterprise Systems Engineering and Aerospace Engineering; Jerry S. Dobrovolny Faculty Scholar; Director of the Engineering System Design LabUniversity of Illinois, Urbana-Champaign
WHERE:
Remote/Virtual
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***Event will take place via Zoom. Zoom link and password will be distributed to the Controls Group e-mail list-serv. To join this list-serv, please send an (empty) email message to control_seminar-join@eecs.umich.edu with the word “subscribe” in the subject line. Zoom information is also available upon request to Katherine Godwin (ktgdwn@umich.edu).

ABSTRACT: In the development of actively controlled engineering systems, physical system (plant) design decisions influence how plant control systems should be designed to improve performance, and control design decisions affect optimal plant design decisions. This characteristic is known as bi-directional design coupling. Conventional sequential design strategies used in practice (i.e., plant design followed by control design) do not fully capitalize upon this coupling. Mechatronics design philosophy is holistic in nature, but established methods lack the ability to articulate and exploit plant-control design coupling in a comprehensive way. Control co-design (CCD) methods formalize treatment of coupling to achieve system-optimal performance. CCD has been applied to niche applications, such control-structure interaction, for some time. A resurgence in CCD research, however, has produced more comprehensive theoretical foundations and increasingly practicable CCD methods. Specifically, these methods support rigorous treatment of physical system design elements, provide tools for balancing plant and control design complexity, and enable the discovery of non-obvious superior design solutions. A review of key milestones in CCD research will be presented, including utilization of CCD for engineering applications of strategic societal (e.g., energy sustainability) and scientific (e.g., spacecraft attitude control) importance. Open challenges, such as incorporating implementable closed-loop control in system-optimal plant design decisions, will be discussed. The material presented here provides a basis and vision for the rapidly intensifying research activity at the interface of physical and control system design.

BIO: James Allison is an associate professor and the Jerry S. Dobrovolny Faculty Scholar at UIUC. He is a faculty member of the Industrial and Enterprise Systems Engineering and Aerospace Engineering departments, and is the director of the UIUC Engineering System Design Laboratory. He holds MS and Ph.D. degrees in Mechanical Engineering, and an MS in Industrial and Operations Engineering, all from the University of Michigan. He has co-authored over 100 research publications and is a recipient of the NSF CAREER Award, the ASME Design Automation Young Investigator Award, ASME papers of distinction, and several teaching, mentoring, and advising awards. His work focuses on the creation and analysis of novel quantitative design methods for engineering systems, primarily CCD optimization. His investigations span a wide range of application domains, including wind/water energy systems, spacecraft control, aircraft cooling systems, intelligent structures, vibration isolation and control, multi-scale scramjet design optimization, automotive systems, power electronics, and fluid systems.

 

Sponsored by

UM ECEBoschFordToyota

Faculty Host

Jeffrey ScruggsAssociate Professor of Civil and Environmental EngineeringUniversity of Michigan