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Robust model-based switching MIMO air handling control of turbocharged lean-burn SI natural gas variable speed engines

This paper demonstrates a multiple-input multiple-output (MIMO) controller design framework and a controller switching algorithm for MIMO controllers in their state-space form, which together achieve robust, efficient control of turbocharged lean-burn engines over a wide operating space. The control...

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Bibliographic Details
Published in:International journal of engine research 2023-06, Vol.24 (6), p.2783-2804
Main Authors: Rayasam, Sree Harsha, Qiu, Weijin, Rimstidt, Ted, Shaver, Gregory M, Van Alstine, Daniel G
Format: Article
Language:English
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Summary:This paper demonstrates a multiple-input multiple-output (MIMO) controller design framework and a controller switching algorithm for MIMO controllers in their state-space form, which together achieve robust, efficient control of turbocharged lean-burn engines over a wide operating space. The controller design framework requires a linearized plant model, and uses the μ -synthesis and DK-iteration algorithms while considering state and output uncertainties and actuator bandwidths to synthesize a robust H ∞ controller. A controller switching methodology using slow-fast controller decomposition and also incorporating hysteresis at switching points is utilized to smoothly transfer control authority between several MIMO controllers. The approach is applied to a high-fidelity truth-reference GT-Power engine model for a lean-burn natural gas-fueled engine to evaluate the closed-loop controller performance. The multi-tracking control problem targets engine speed, differential pressure across throttle as well as air-to-fuel ratio to achieve satisfactory engine performance and emissions without compressor surge. The engine response obtained using the robust MIMO controller is compared with that obtained using a state-of-the-art benchmark controller to evaluate the additional benefits of the MIMO controller.
ISSN:1468-0874
2041-3149
DOI:10.1177/14680874221134318