<<So now we are left with the question as to how to calculate MOIs to get the sim to work somewhat nicely in FS irrespective of the facts you highlight....... Right now, all we have is what MS recommends for the sim, not real world, and I suspect that has to be what we live with.>>
We have known since 1997 that the Microsoft inertia equations are nonsense. The reason there are so many bad FD 'out there' is the defeatist conclusion that 13 years later FD developers still have no choice but to copy Microsoft errors.
If Microsoft modelled a default aeroplane the wrong shape does every subsequent MDL author have no choice but to repeat the error? How many third party MDLs would we have if every MDL author refused to buy or borrow real books from a library for study before bothering to develop an error free MDL?
Don't FD authors have an equal obligation to eliminate Microsoft's errors instead of perpetuating them? Nobody needs to guess how flight dynamics work. The source of the problem is well known. The solution is well known. It sesm to me that what is missing is the resolve to eliminate the problem unless it is a free download.
The two 'most favoured' inertia estimation techniques within the FD author community are USAF DATCOM which 'seems' to have been adopted as a 'standard' by the CFS community, and which 'may' be best suited to their needs. The USAF DATCOM methodology 'appears' to be 'freely available'.
http://www.holycows.net/datcom/Digital_Datcom_Users_Manual_1.2.pdf
http://www.holycows.net/datcom/AIAA-1985-4070-141.pdf
http://rapidlibrary.com/index.php?q=usaf+digital+datcom
For MSFS use the Roskam methodology is probably superior. I am not entirely sure that Abacus Software had copyright permision to make it freely available, but they did, and it is here.
http://www.flightsimdownloads.com/pub/FlightDynamics.pdf
Remember that 'empty weight' is irrelevant and that the relevant mass is default MSFS mass with zero fuel.
So now there should be no reason to use nonsense from Microsoft to evaluate 'base' MOI.
<<I also understand that Airbus programs all of their fly-by-wire systems to "feel" as close to their other planes as possible, making cross-training easier. So it's all very much a subjective matter,>>
Q-feel is something a computer imposes on a pilot. The inertia of the aeroplane is something else.
Inertia controls, (along with some other variables), how the aeroplane responds to the weather (MSFS weather model) with no crew input at all. How much force is required to deflect a control surface depends on the profile drag (IAS) the pilot is abusing it with, not aeroplane inertia.
<<and the only way to really get it right is with the cooperation of a real-world type-rated pilot that's also intimately familiar with the inner workings - and limitations - of Flight Sim.>>
A large enough sample of real pilot opinions can deliver a bell curve of opinions. If a question about some variable not declared within the real aircraft documention is sensibly formulated, with dozens of sampled opinons, it may be possible to work out a rough answer from the bell curve. Using an estimation technique from a relevant textbook will always produce a more accurate result because the textbook solution is never based on a few opinions.
Pilots have no idea what the force required to deflect a control surface to angle alpha is at a specified level of profile drag (IAS) abuse, and they have no reason to. If they needed to know it would be in the real documentation and we would not need to ask them. An Airbus pilot does not even know how much of his input was rejected by the flight computer.
Inertia, stability and damping in each axis have no relevance to the feel of control inputs. They are about resisting the weather (model) with no control inputs at all. Pilots are not involved. We are discussing evaluation of a mathematical attribute of a distributed mass, in a turbulent fluid, not something that pilots invoke or evaluate.
These are exactly the type of misconceptions which lead to broken FD. Those who hope to encode flight dynamics must study which variables, in which equations, control or modify which inputs and which outputs. I do not agree with everything in the texts cited above, or warrant that they are the most accurate methodologies within the real world, but those who seek a greater understanding of (MSFS) flight dynamics will benefit from studying them.
FSAviator.