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Fuzzy Sliding Mode Predictive Control of Air Flow Rate for a High-Speed High-Temperature Heat-Airflow Test System

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To solve the problem of accurate control of air flow rate of a high-speed high-temperature heat-airflow test system, this paper introduces the working principle, establishes the mathematical model and analyzes the characteristics of the air supply subsystem. According to the characteristics of the air supply subsystem, such as time-varying parameters, time delay and disturbance, which are difficult to control accurately, a new fuzzy sliding mode predictive control algorithm is proposed based on fuzzy sliding mode control and Smith predictor. On this basis, the proposed control algorithm is simulated and studied. The results show that the proposed fuzzy sliding mode predictive control algorithm has good control performance. It can not only achieve high-performance tracking of step, slope, square wave and sinusoidal signals, but also can overcome the influence on the system caused by pure time delay, time-varying parameter and external disturbance.

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The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Nature Science Foundation of Hebei Province Grant no. E2017402037, and science and technology research project of Hebei Province, Grant no. ZD2018012.

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Correspondence to Chaozhi Cai.

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Cai, C., Guo, L. & Liu, J. Fuzzy Sliding Mode Predictive Control of Air Flow Rate for a High-Speed High-Temperature Heat-Airflow Test System. Int. J. Aeronaut. Space Sci. 21, 806–815 (2020).

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