A distributed model predictive control approach to cooperative adaptive cruise control of the heterogeneous platoon

This paper presents a distributed model predictive control algorithm to solve the cruise control problem of a heterogeneous platoon. Each following vehicle in the platoon can use the communication equipment to receive the information of the leading vehicle and its preceding adjacent one. The vehicles in the platoon are dynamically decoupled and have different dynamic parameters. Each vehicle solves a local optimal control problem independently. The cost function of each vehicle's local optimal control algorithm is designed with traceability as the control objective, and its asymptotic stability is guaranteed by using the terminal constraint method. In addition, the timestamps of all vehicles in the platoon are synchronous, which means that in each sampling period, a specific vehicle in the platoon cannot obtain the solution results of other vehicles' local optimal control problems at the current sampling moment. Under this restriction, the constraints that each vehicle needs to meet to realize the platoon's string stability are also designed. Finally, the simulation results show the effectiveness of the algorithm.

Automated summary

This paper introduces a distributed model predictive control algorithm to address the cruise control problem of a heterogeneous platoon. The algorithm considers the dynamic parameter differences of each vehicle in the platoon and designs cost functions and constraints for local optimal control problems to ensure the string stability of the platoon.