In this paper, a model predictive control(MPC)-based cooperative guidance approach, which launches a salvo attack for multi-missile engagement against a stationary target, is proposed. This guidance scheme stems from a centralized MPC for multi-agent output consensus problem, which is solved online by quadratic programming. Without time-to-go estimation, the time coordination of salvo attack is achieved via the simultaneity of synchronized states among missiles, which is inherited from the very essence of consensus in multi-agent systems. Acceleration constraint is considered as well in the approach. To adapt to the nonlinear model of the engagement, state-dependent technique is used during the prediction and optimization. Numerical simulation results are presented to demonstrate the effectiveness of the proposed cooperative guidance approach.
MPC-consensus based optimal cooperative guidance law design
2016-08-01
158342 byte
Conference paper
Electronic Resource
English
Autonomous cooperative guidance based on distributed consensus and self-management
SAGE Publications | 2021
|