Output tracking anti-disturbance control for turbofan systems
Yuxuan Gao,
Ying Zhao,
Yu Liu,
Zhuo-Rui Pan and
Rui Wang
Applied Mathematics and Computation, 2023, vol. 456, issue C
Abstract:
A new output tracking (OT) control strategy is established for the turbofan systems involved by multiple disturbances, the measurable disturbance and unmeasurable disturbance. The control aim is to improve the OT performance, while restraining the effect of the multiple disturbances on the turbofan systems. First, an observer is formed to estimate the unmeasurable modeled disturbance. Next, a controller depending on the observer is built to capture the OT performance and the multiple disturbance restrain performance. The designed controller not only combines the disturbance estimation and the output error, but also takes advantage of the available signal to be tracked. By such a controller, the OT performance is enhanced. In the end, the developed OT anti-disturbance control scheme is performed on a hardware-in-loop simulation platform inserted with the turbofan system model to improve the OT performance of the turbofan system.
Keywords: Output Tracking (OT); Multiple disturbances; Anti-disturbance; Turbofan systems (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:456:y:2023:i:c:s0096300323003089
DOI: 10.1016/j.amc.2023.128139
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