Design and Flight Test Verification of Convex Optimization Powered Descent Guidance Algorithm under Engineering Constraints
An online trajectory optimization and guidance algorithm based on convex optimization is pro-posed for the soft landing maneuver guidance problem under engineering constraints such as thrust pointing constraint,speed direction constraint and thrust change rate constraint.Based on the optimal control theo-ry,the influence of thrust pointing constraint on the relaxation convexization of non-convex constraint is an-alyzed,and the Lagrange interpolation method is used to eliminate the endogenous fluctuation of the guid-ance command.The multi-state multi-flight test is implemented,which is based on the reusable flight test platform.The flight test results show that the algorithm can adapt to the planning and guidance require-ments under various constraints and conditions and has the potential to be further served as engineering practice.
Convex optimizationPowered descent guidanceEngineering constraintsFlight test
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