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A neuro-optimal approach for thrust-insensitive trajectory planning

Pourtakdoust, S. H ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1108/00022660910954718
  3. Publisher: 2009
  4. Abstract:
  5. Purpose - The purpose of this paper is to devise a new approach to synthesize closed-loop feedback guidance law for online thrust- insensitive optimal trajectory generation utilizing neural networks. Design/methodology/approach - The proposed methodology utilizes an open- loop variational formulation that initially determines optimal launch/ ascent trajectories for various scenarios of known uncertainties in the thrust profile of typical solid propellant engines. These open-loop optimized trajectories will then provide the knowledge base needed for the subsequent training of a neural network. The trained network could eventually produce thrust-insensitive closed-loop optimal guidance laws and trajectories in flight. Findings - The proposed neuro-optimal guidance scheme is effective for online closed-loop optimal path planning through some measurable and computable engine and flight parameters. Originality/value - Determination of closed-loop optimal guidance law for non-linear dynamic systems with unc ertainties in system and environment has been a challenge for researchers and engineers for many years. The problem of steering a solid propellant driven vehicle is one of these challenges. Even though a few researchers have worked in the area of non-linear optimal control and thrust-insensitive guidance, this paper proposes a new strategy for the determination of closed-loop online thrust insensitive guidance laws leading to optimal flight trajectories for solid propellant launch and ascent vehicles. © Emerald Group Publishing Limited
  6. Keywords:
  7. Aerospace engineering ; Control technology ; Ascent trajectory ; Closed-loop ; Closed-loop feedback ; Control technology ; Design/methodology/approach ; Flight parameters ; Flight trajectory ; Guidance laws ; Knowledge base ; Neural nets ; New approaches ; New strategy ; Non-linear dynamic systems ; Non-linear optimal control ; Open loops ; Optimal guidance ; Optimal guidance law ; Optimal path planning ; Optimal trajectory generation ; Propellant engines ; Trajectory Planning ; Variational formulation ; Automobile engines ; Knowledge based systems ; Launching ; Linear control systems ; Neural networks ; Solid propellants ; Spacecraft propulsion ; Trajectories ; Optimization
  8. Source: Aircraft Engineering and Aerospace Technology ; Volume 81, Issue 3 , 2009 , Pages 212-220 ; 00022667 (ISSN)
  9. URL: https://www.emerald.com/insight/content/doi/10.1108/00022660910954718/full/html