TR2019-054
Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application
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- "Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application", European Control Conference (ECC), DOI: 10.23919/ECC.2019.8795876, June 2019, pp. 1281-1287.BibTeX TR2019-054 PDF
- @inproceedings{Schwerdtner2019jun,
- author = {Schwerdtner, Paul and Bortoff, Scott A. and Danielson, Claus and Di Cairano, Stefano},
- title = {Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application},
- booktitle = {European Control Conference (ECC)},
- year = 2019,
- pages = {1281--1287},
- month = jun,
- publisher = {IEEE},
- doi = {10.23919/ECC.2019.8795876},
- url = {https://www.merl.com/publications/TR2019-054}
- }
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- "Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application", European Control Conference (ECC), DOI: 10.23919/ECC.2019.8795876, June 2019, pp. 1281-1287.
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MERL Contacts:
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Research Area:
Abstract:
We present an anti-windup method in which the Hanus conditioning technique is combined with a user-designed projection of the reference onto the set of feasible steady-state points. This hybrid approach allows the designer to define a policy for steady-state reference tracking which is used to define the reference projection in the case that one or more control inputs saturate. The projection is computed only when the reference input changes, and is therefore less computationally taxing when compared to a command governor or model predictive control, for some applications. We demonstrate the method with an H infinity loop-shaping controller for a multi-zone heat pump system in simulation.
Related News & Events
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NEWS MERL researchers presented more than 8 papers in European Control Conference, ECC 2019 Date: June 25, 2019 - June 28, 2019
Where: Naples, Italy
MERL Contacts: Scott A. Bortoff; Ankush Chakrabarty; Stefano Di Cairano; Devesh K. Jha; Christopher R. Laughman; Daniel N. Nikovski; Diego Romeres; William S. Yerazunis
Research Areas: Control, Machine Learning, OptimizationBrief- The European Control Conference is the premier control conference in Europe. This year MERL was well represented with papers on control for HVAC, machine learning for estimation and control, robot assembly, and optimization methods for control.