Hi I am writing a package for conceptual design of UAV and it mainly deals with the relations between the variables, but fit them into a new data structure. I am doing the 1st draft in R but maybe rewrite in Python later.

Can I modify and use the algorithms in this project? If so, what should I put into Reference and who are the main contributors and authors of the relevant sources (so that I can put the names and works in acknowledgement)?

I was debugging the 'AirplaneDesign.m' part.
When inside 'performanceEvaluator', it tries to find SunRise Time and so on. So it uses
"solar_radiation_on_surface2 " function to get 'irr_vec' in return.

But I noticed that the program outputted the SunRiseTime as "48800[s]", which is over 1PM.
So I thought that was a problem. I checked each variables and they were fine.
I did 2 tests to explain the problem specifically.

1. Flat on Ground, 6AM, June 21st, Latitude 35.8°, Longitude 128°, Altitude 535[m], Albedo 0.12 //
   Result : 0 0 0 0 0 0 1.9794 -2.4607 1.9794

2. Flat on Ground, 1.5PM, June 21st, Latitude 35.8°, Longitude 128°, Altitude 535[m], Albedo 0.12 //
   Result : 0.2582 0.0175 0.2408 0.2582 0.0175 0.2408 1.5611 2.0038 1.5611

I checked every time between them. 1PM is when irr_vect(1) became 'positive' for the first time.

ANY Ideas why this is happening ???

This optimisation of solar powered plane can be generalized. And if , with default values we can write functions for the whole script, e.g.'analysis'.

The values in the script can be used as default values.

Also if this takes longer time maybe we can keep the original version but make a faster version simplifying the inner expressions, (maybe with CAS derive the expressions first and then put the expressions into body of the function to speed it up, as there are at least 3 sets of for loops in the optimization functions).