English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we present a real-time successive convexification algorithmfor a generalized free-final-time 6-degree-of-freedom powered descent guidanceproblem. We build on our previous work by introducing the followingcontributions: (i) a free-ignition-time modification that allows the algorithmto determine the optimal engine ignition time, (ii) a tractable aerodynamicsformulation that models both lift and drag, and (iii) a continuousstate-triggered constraint formulation that emulates conditionally enforcedconstraints. In particular, contribution (iii) effectively allows constraintsto be enabled or disabled by if-statements conditioned on the solutionvariables of the parent continuous optimization problem. To the best of ourknowledge, this represents a novel formulation in the optimal controlliterature, and enables a number of interesting applications, includingvelocity-triggered angle of attack constraints and range-triggered line ofsight constraints. Our algorithm converts the resulting generalized powereddescent guidance problem from a non-convex free-final-time optimal controlproblem into a sequence of tractable convex second-order cone programmingsubproblems. With the aid of virtual control and trust region modifications,these subproblems are solved in succession until convergence is attained.Simulations using a third-party solver demonstrate the real-time capabilitiesof the proposed algorithm, with a maximum execution time of less than 0.7seconds over a multitude of problem feature combinations.

Successive Convexification for Real-Time 6-DoF Powered Descent Guidance with State-Triggered Constraints