• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
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  • 한국과학기술단체총연합회
  • 한국학술지인용색인
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Title Neural Network-Based Adaptive Integral Sliding Mode Control for Bidirectional Platooning with Unknown Dynamics and Disturbances
Authors 부준석(Junseok Boo) ; 전지훈(Ji Hun Jeon) ; 안유선(Yusun Ahn) ; 이강복(Kang Bok Lee)
DOI https://doi.org/10.5370/KIEE.2026.75.9.2206
Page pp.2206-2215
Keywords Adaptive integral sliding mode control; Bidirectional platooning; Matched and mismatched disturbances; Neural network; Unknown dynamic parameters.
Abstract This paper proposes a neural network-based adaptive integral sliding mode control method for bidirectional vehicle platooning under unknown dynamic parameters and matched and mismatched disturbances. The unknown nonlinear dynamics induced by disturbances and parameter uncertainties are approximated and compensated using a neural network, while the uncertain vehicle mass directly affecting the control input is estimated through an adaptive law. To improve transient performance and robustness, a modified constant time-headway policy and a chattering-suppression robust control term are further incorporated. Theoretical analysis proves that the proposed controller guarantees asymptotic spacing error stability and string stability of the overall platoon system. Numerical simulations verify the effectiveness of the proposed method under disturbances and dynamic parameter uncertainties.