bolek

I only used auto start once or twice but I seem to remember that the throttles have to be all the way back for it to work.

Is it possible that the runway is too short?

For the wingmen to obey attack order you first need to lead them below the clouds and close enough so they can see the bunkers.

AFAIK, the "Fly Again" option is normally always disabled when flying missions as part of the campaign. Does TEW do something special to enable it?

Speaking of difficult missions, I find the "Storm before the calm" (night mission near the Armenian border) very hard. Mostly because of the poor TGP performance in IR mode. If it wasn't for the wingman who always magically knows where the enemy is, I would had no chance to find the 6 moving targets. Even with his assistance, I was not able to complete the mission without taking 4 MAVs. To be fair, I suck at gun/rocket runs, even more so at night.:)

I would like to add one more tip: anchor the wingmen at safe distance while you work on the SA-9 (either with a MAV or create mark and drop JDAM). Once you destroy it, unleash the wingmen on the bunkers. They will likely use MAVs which will work fine. You can help too, if you have MAVs left. I found it too difficult to mark the bunkers accurately enough for JDAMS (which was not an issue with the SAM), but it's probably possible. FWIW, I think this mission is now a bit easier than the original free version. Or maybe I just played it too many times :)

Thank you! Happy Holidays

This happened to me too (MANPAD got all my wheels). I had to shutdown, repair on the runway, start up the engines and then I could taxi and got mission completed debrief. Good thing my wingmen didn't run out of fuel while waiting to land :)

I found Russian FC2 manual here: https://www.digitalcombatsimulator.com/en/download.php?iblock_id=1&id=244403&goto=%2Fupload%2Fiblock%2F827%2FLOCKON_FC2_Flight_Manual_RU.rar My Russian is extremely rusty but as far as I can tell the combat steering mode is mentioned only under Su-25T, on page 64. This says pretty much the same thing as what the current Su-25T english manual says on page 19. I also tried some simple tests in Su-27 in 1.5.2 and I couldn't get it to do anything remotely resembling what Oberfeldwebel described. But maybe I was doing something wrong? What are the conditions? Lock the target and hit 'A'? As far as I could tell autopilot behaved the same way regardless if I had any target locked or not. I agree that this functionality is probably not there anymore, nor should it be.

As far as I can tell, in Su-25 it will only steer you directly towards the target. It's not going to compute "best intercept course". But I think even this is not implemented in Su-27 (I don't know if the real aircraft has it or not).

Don't fly in too close formation :) Track file: https://drive.google.com/open?id=0B9t8xpa2yQnjTEhLaHZpQzEya1k Tacview: https://drive.google.com/open?id=0B9t8xpa2yQnjekdGZ0VVcDVtOGM Action starts around 16:45 (12:45 in Tacview, probably time zone difference)

I am trying to add attachment to my post (a .trk file) and I get this error (but it did let me attach the image of the error :)). Thanks Bolek http://forums.eagle.ru/data:image/png;base64,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

I don't think so, it's a bug but AFAIK it only happens in multiplayer. Do you also see it in single player?

I am not sure if we are talking about the same issue, but even in 1.5.2 the ' key does not always bring up the players list. I am not talking in the lobby, just during regular flying or on the ground. Sometimes it works, sometimes it doesn't. Once it doesn't, it never works again.

Still reproducible in 1.5.2

I guess I am still really confused. Do you mean that the aircraft is still and the terrain moves? I think is intentional, how else would you do it? If you want the terrain still and moving aircraft that is the F3 view. Or do you mean something else entirely? Sorry for being dense...

For me it works sometimes, but sometimes it doesn't. I can't figure out what triggers it.

Huh? Can you explain what you mean?

I could understand it if you quickly turn the radar on and off to IFF, but what if you just turn it on and keep it on? You still won't show up on their RWR? Does the radar go into some kind of TWS mode while the lock is maintained via EO only?

If the cross hairs are on the target but you cannot get a lock with TMS forward then you are probably too far given the specific target contrast. First, switch to narrow view ('V' short) and try again. If it still doesn't work then keep flying towards the target and keep trying TMS forward. Eventually you should get a lock (you could be well within the max range of the missile when that happens). Cross hairs should keep flashing continuously when there is a lock.

Thanks, so I guess the next question is: If the maximum range is the goal, does reaching the cruise altitude faster at 100% make up for increased fuel consumption while climbing? (never mind, didn't mean to add even more to your plate :)) Great work, BTW!

I know that your experiments show that power settings above 95% do not provide any benefit in cruise conditions. But does that also apply to climbing? Can you climb faster at 100%? And what about acceleration? Can you accelerate faster at full military power than at 95%?

Did you try taking control first and then cycling F2 and jumping into the aircraft? I believe that this order should work.

I heard people say that before but I am curious why? I thought Su-25T could do everything that Su-25 can? Is it about better performance in flight? Not having Shkval (you can always not use it :))? Thanks Bolek

I don't remember the problems you mentioned, but if you want to advance the campaign manually, open logbook.lua, find the section for the "Ultimate Argument" campaign and in it there is a table called ["history"] = The entries are not ordered but the last one is shorter than others (it does not have "result" value among other things) and it looks like this: [3] = { ["stage"] = 2, ["mission"] = "en02_A10Sturm.miz", }, -- end of [2] You can change the "stage" value to the next one (or any other) and the "mission" to any mission from the new stage (look in the .cmp file to see what missions are in each stage). Do not the change the entry number itself ("3" in this example). Bolek