Abstract
AbstractIn this paper, a distributed Model Predictive Control (MPC) method based on modified Brain Storm Optimization (BSO) algorithm is proposed to solve the control problem of multiple Unmanned Aerial Vehicles (UAVs). The modified BSO algorithm considers all cluster centers, and the chaos mechanism is introduced into the solution replacement mechanism. Based on the distributed model predictive control framework, the cost functions and trigger mechanism are designed for formation control. Simulation results show that the designed trigger mechanism can reduce the amount of calculation, and verifies the feasibility and effectiveness of the proposed method.KeywordsUnmanned Aerial Vehicle (UAV)Modified Brain Storm Optimization (BSO)Distributed Model Predictive Control (MPC)
Published Version
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