Reentry Predictor-corrector Guidance Adapting to Multi Range and Path Constraints
To address the reentry missions with different path constraints and range requirements,a conic based bank angle is designed to enhance the lateral maneuverability,and the predictor-corrector guidance method is used to revise the bank angle profile to satisfy the range requirements.The improved artificial potential field method is used to design the lateral guidance method to satisfy the path constraints.Finally,the guidance parameters are optimized by particle swarm optimization algorithm to obtain the trajectory with the best performance.Simulation results verify that the algorithm can adapt various range requirements and path constraints,and meet the terminal constraints with high accuracy.
lifting vehiclepath constraintspredictor-corrector guidanceartificial potential field methodparticle swarm optimization
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