Banerjee, Avijit and Padhi, Radhakant and Vatsal, Vishesh (2015) Optimal Guidance for Accurate Lunar Soft Landing with Minimum Fuel Consumption using Model Predictive Static Programming. In: American Control Conference, JUL 01-03, 2015, Chicago, IL, pp. 1861-1866.
2015_Ame_Con_Con_2015.pdf - Published Version
Restricted to Registered users only
Download (1496Kb) | Request a copy
In this paper the soft lunar landing with minimum fuel expenditure is formulated as a nonlinear optimal guidance problem. The realization of pinpoint soft landing with terminal velocity and position constraints is achieved using Model Predictive Static Programming (MPSP). The high accuracy of the terminal conditions is ensured as the formulation of the MPSP inherently poses final conditions as a set of hard constraints. The computational efficiency and fast convergence make the MPSP preferable for fixed final time onboard optimal guidance algorithm. It has also been observed that the minimum fuel requirement strongly depends on the choice of the final time (a critical point that is not given due importance in many literature). Hence, to optimally select the final time, a neural network is used to learn the mapping between various initial conditions in the domain of interest and the corresponding optimal flight time. To generate the training data set, the optimal final time is computed offline using a gradient based optimization technique. The effectiveness of the proposed method is demonstrated with rigorous simulation results.
|Item Type:||Conference Proceedings|
|Additional Information:||Copy right of this article belongs to theIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||02 Apr 2016 06:21|
|Last Modified:||02 Apr 2016 06:21|
Actions (login required)