Adaptive Neural Network Global Fractional Order Fast Terminal Sliding Mode Model-Free Intelligent PID Control for Hypersonic Vehicle’s Ground Thermal Environment

Adaptive Neural Network Global Fractional Order Fast Terminal Sliding Mode Model-Free Intelligent PID Control for Hypersonic Vehicle’s Ground Thermal Environment

In this paper, an adaptive neural network global fractional order fast terminal sliding mode model-free intelligent PID control strategy (termed as TDE-ANNGFOFTSMC-MFIPIDC) is proposed for the hypersonic vehicle ground thermal environment simulation test device (GTESTD). Firstly, the mathematical mo...

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Bibliographic Details
Main Authors: Xiaodong Lv, Guangming Zhang, Zhiqing Bai, Xiaoxiong Zhou, Zhihan Shi, Mingxiang Zhu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Aerospace
Subjects:
aerodynamic heating
model-free control
global fractional-order fast terminal sliding mode
adaptive neural network
Online Access:https://www.mdpi.com/2226-4310/10/9/777

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