Integral-Sliding-Mode Braking Control for a Connected Vehicle Platoon: Theory and Application

This paper proposes a distributed integral-sliding-mode (ISM) control strategy for cooperative braking control of a connected vehicle platoon with a focus on the car-following interactions between vehicles. In particular, a linear controller considering the position and velocity of the lead vehicle as well as the braking force is proposed for the leader, while a constant-time-headway-policy-based ISM controller incorporating the car-following interactions, the spacing error, velocity difference, and external disturbances is developed for the followers. In addition, the convergence for the ISM controller is rigorously analyzed using the Lyapunov technique. Furthermore, the string stability of the platoon is analyzed using the transfer function method. Finally, extensive analyses are conducted using numerical and field experiments. Results verify the effectiveness of the proposed control strategy with respect to the position, velocity, deceleration, and spacing error profiles.

[1]  Mario di Bernardo,et al.  Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays , 2015, IEEE Transactions on Intelligent Transportation Systems.

[2]  Taketoshi Kawabe,et al.  A centralized control system for ecological vehicle platooning using linear quadratic regulator theory , 2012, Artificial Life and Robotics.

[3]  Huijun Gao,et al.  Coordination for Linear Multiagent Systems With Dynamic Interaction Topology in the Leader-Following Framework , 2014, IEEE Transactions on Industrial Electronics.

[4]  Dong Ngoduy,et al.  Platoon based cooperative driving model with consideration of realistic inter-vehicle communication , 2016 .

[5]  Dongpu Cao,et al.  Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain , 2018, IEEE Transactions on Cybernetics.

[6]  Karl Henrik Johansson,et al.  String Stability and a Delay-Based Spacing Policy for Vehicle Platoons Subject to Disturbances , 2017, IEEE Transactions on Automatic Control.

[7]  Richard H. Middleton,et al.  String Instability in Classes of Linear Time Invariant Formation Control With Limited Communication Range , 2010, IEEE Transactions on Automatic Control.

[8]  Dongkyoung Chwa,et al.  Adaptive Bidirectional Platoon Control Using a Coupled Sliding Mode Control Method , 2014, IEEE Transactions on Intelligent Transportation Systems.

[9]  Charles A. Desoer,et al.  Longitudinal control of a platoon of vehicles with no communication of lead vehicle information: a system level study , 1993 .

[10]  Le Yi Wang,et al.  Communication Information Structures and Contents for Enhanced Safety of Highway Vehicle Platoons , 2014, IEEE Transactions on Vehicular Technology.

[11]  Bugong Xu,et al.  Improved Protocols and Stability Analysis for Multivehicle Cooperative Autonomous Systems , 2015, IEEE Transactions on Intelligent Transportation Systems.

[12]  Hong Zheng,et al.  Nonlane-Discipline-Based Car-Following Model for Electric Vehicles in Transportation- Cyber-Physical Systems , 2018, IEEE Transactions on Intelligent Transportation Systems.

[13]  Yang Zheng,et al.  Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies , 2016, IEEE Transactions on Control Systems Technology.

[14]  Jae Weon Choi,et al.  Optimal scheduling of a communication channel for the centralized control of a platoon of vehicles , 2013 .

[15]  Bugong Xu,et al.  Convergence Analysis of Cooperative Braking Control for Interconnected Vehicle Systems , 2017, IEEE Transactions on Intelligent Transportation Systems.

[16]  Dongpu Cao,et al.  Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System , 2018, IEEE Transactions on Industrial Informatics.

[17]  Keqiang Li,et al.  Robustness Analysis and Controller Synthesis of Homogeneous Vehicular Platoons With Bounded Parameter Uncertainty , 2017, IEEE/ASME Transactions on Mechatronics.

[18]  Shahram Azadi,et al.  Stable Decentralized Control of a Platoon of Vehicles With Heterogeneous Information Feedback , 2013, IEEE Transactions on Vehicular Technology.

[19]  Sagar Naik,et al.  Optimization of Fuel Cost and Emissions Using V2V Communications , 2013, IEEE Transactions on Intelligent Transportation Systems.

[20]  Huiping Li,et al.  Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed γ-gain stability , 2016, Autom..

[21]  Le Yi Wang,et al.  Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control , 2016, IEEE Transactions on Control Systems Technology.

[22]  Bin Yang,et al.  Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve , 2015, IEEE Transactions on Intelligent Transportation Systems.

[23]  William B. Dunbar,et al.  Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability , 2012, IEEE Transactions on Automatic Control.

[24]  Ya-Fu Peng Adaptive intelligent backstepping longitudinal control of vehicleplatoons using output recurrent cerebellar model articulation controller , 2010, Expert Syst. Appl..

[25]  Yang Zheng,et al.  Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities , 2017, IEEE Intelligent Transportation Systems Magazine.

[26]  Jianliang Wang,et al.  Distributed Adaptive Integrated-Sliding-Mode Controller Synthesis for String Stability of Vehicle Platoons , 2016, IEEE Transactions on Intelligent Transportation Systems.

[27]  He Chen,et al.  A New Antiswing Control Method for Underactuated Cranes With Unmodeled Uncertainties: Theoretical Design and Hardware Experiments , 2015, IEEE Transactions on Industrial Electronics.