Powered Vehicle Entry Trajectory Optimization Based on Sequential Convex Optimization
The sequential convex optimization method applied to the powered vehicle entry trajectory optimi-zation is researched in this paper.Firstly,in order to solve the problem of high coupling and non-linearity of control variables in the original optimization,the linear state equation about control variables is obtained by choosing new control variables due to the relationship between original and new control variables estab-lished.Secondly,the nonlinear dynamic equations,performance index and constraints on the path and con-trol variables in the original optimization occurrence are relaxed and linearized.Next,aiming at ensuring the validity of relaxation and linearization,the trust-region constraint is applied to the state variables,and the integral term of velocity azimuth is added to the performance index.Furthermore,the original problem is converted to a convex optimization problem with discretization technique.Finally,the algorithm is proven to be effective by numerical simulation.Under the original nonlinear constraints satisfied,the proposed al-gorithm is proven to be reasonable with high solving accuracy for the powered vehicle entry trajectory optimi-zation,and the optimized solution can be used as a feasible approach to the original problem in the range of defined precision.
Vehicle entryTrajectory optimizationSequential convex optimizationPowered entryRelaxa-tion and linearization
万方数据
维普
