Abstract
Due to the unique structure of TISO feedback systems, several closed loop properties can be characterized using the concepts of plant and controller directions and alignment . Poor plant/controller alignment indicates significant limitations in terms of closed loop performance. In general, it is desirable to design a controller that is well aligned with the plant in order to minimize the size of the closed loop sensitivity functions and closed loop interactions. Although the concept of alignment can be a useful analysis tool for a given plant/controller pair, it is not obvious how a controller should be designed to achieve good alignment. We present a new controller design approach, based on the well-known PQ method , which explicitly incorporates knowledge of alignment into the design process. This is accomplished by providing graphical information about the alignment angle on the Bode plot of the PQ frequency response. We show the utility of this approach through a design example.
Original language | English (US) |
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Title of host publication | Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare |
Publisher | American Society of Mechanical Engineers (ASME) |
ISBN (Electronic) | 9780791851890 |
DOIs | |
State | Published - 2018 |
Externally published | Yes |
Event | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States Duration: Sep 30 2018 → Oct 3 2018 |
Publication series
Name | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
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Volume | 1 |
Other
Other | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
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Country/Territory | United States |
City | Atlanta |
Period | 9/30/18 → 10/3/18 |
Bibliographical note
Funding Information:This research is supported by Sandia National Laboratories. Sandia is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.
Publisher Copyright:
Copyright © 2018 ASME.