Application of anti surge technology of compressor based on fuzzy control

He, Hong; Sun, Xiaohui

doi:10.1109/icedme50972.2020.00082

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the destructive effects of the surge phenomenon of the compressor system, many attempts have been made to control this instability in the centrifugal compressor. [7][8][9][10][11][12] The two main categories for surge instability control are surge prevention and active surge control. 13,14 In the first method, by selecting the surge control line and designing the controller, an attempt is made to prevent the system from entering the unstable zone.…”

Section: Introductionmentioning

confidence: 99%

Robust active finite-time control of gas compressor system surge in the presence of unmatched disturbance and uncertainty

Sun¹,

Gu²,

Zhang³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

Active and robust control of surge instability is a special necessity for optimal and safe operation of centrifugal compressors, and for the purpose, this article presents a new hybrid scheme based on fuzzy and terminal sliding mode methods. The Greitzer model is used to design a novel controller when the disturbance instability in the flow and pressure alike the uncertainity in the compressor characteristic curve and throttle valve are embedded in it. The fuzzy approximator is used to estimate the effects of parametric uncertainty and the nonlinear terms, and the robustness of the proposed method is guaranteed using the terminal sliding mode control method. The Lyapunov criterion is utilized to verify the finite-time stability of the closed-loop system. The performance of the presented method is compared with other methods in the literature through simulations in MATLAB software. The results suggest that our designed controller outperforms the existing ones in terms of surge prevention and robustness against unmatched uncertainties and disturbances.

show abstract