Adaptive radial basis function sliding mode control for platoons under DoS attacks. Issue 3 (10th October 2022)

• Record Type: Journal Article
• Authors: Zhang, Xiaofei; Du, Haiping; Jia, Zhijuan; Cui, Chi; Yang, Yanyan
• Is Part Of: IET intelligent transport systems. Volume 17:Issue 3(2023)
• Page Start: 630
• Page End: 644
• Publication Date: 2022-10-10
• Subjects: Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/itr2.12289
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract: This paper proposes an adaptive sliding mode control based on an auxiliary distance sensor for nonlinear platoons over vehicular ad‐hoc networks under Denial‐of‐Services (DoS) attacks and external disturbances. DoS attacks can cause packet dropping for the wireless network and will lead to the collision or degradation to adaptive cruise control of platoons. To solve this problem, an adaptive Radial Basis Function (RBF) sliding mode control method is proposed for the attacked platoons. RBF neural networks are used to approximate the unknown nonlinear part and external disturbances contained in the vehicle models. Then the adaptive sliding mode controllers are designed to achieve the control goals: the spacing error converges to zero, and the platoon maintains the string stability. The system's internal stability and string stability are proved. Numerical examples are applied to show the effectiveness of the proposed method. Compared with the existing method, the spacing error is decreased from 5.0726, 6.4637 to 0.0264 for secure distributed adaptive platooning control in PF topology and LPF topology, and the average distance is increased from 7.0580 m, 5.7442 m to 11.8498 m for secure distributed adaptive platooning control in PF topology and LPF topology to maintain a safe distance under the situation of DoS attacks.