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Compound Collision Course Method
Well it seems that autumn came early this year and it's raining "methods"
Here is another one! Based on the "compound" collision course concept already mentioned here but extended so as to be easily implemented (graphically) in SH4. The text describing the method is here. Have a look at it and post a comment. Considered W.I.P. And BTW I don't claim that the method is original or novel in any way (I would REALLY be suprised if it was). . |
This method certainly must work, in theory anyway. You have two situations (equations), with 2 unknowns in common. The more I look at diagram 3, the more I am reminded about the formula derivation of the 3-bearing method. It looks very similar, though is from a completely different setup. (see my 1st message in Nisgeis equal-bearing interval thread) Maybe the style of that derivation can help further with yours.
Whether you have enough time to establish 2 collision courses before the actual merge in praxis is something I am not sure of. Also, if you lag too much behind for stage 2, then your topspeed may not be adequate enough to keep up with the constant bearing required speed. Damn, too many methods, not enough braincells that are fit to divide them over. |
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Handling the "lag phase" may well turn out to be the "make it or break it" part of the procedure... :hmmm: Quote:
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It's the Navy, after that last liberty, it's TWO brain cells—but they're held together by a spirochete. :) |
Doesn't it take FOUR brain cells to perform any type of trig function?
Is it cheating to use a 21st century calculator to do the math and just pretend like you have a math wiz doing the calculations for you, or is long hand absolutely required for the sake of realism? :hmmm: K.I.S.S. |
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http://www.antiquark.com/sliderule/s...lide-rule.html |
I'll stick with OKane, Vector or EZplot and my version of quick guesswork sonar shooting in a storm.
I do enough math homework with my son. |
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if you know target's speed and course you can do whatever you please.
The Compound Collision Course Method (CCCM) is about getting/verifying/fine-tuning that kind of data. It is not a firing method per se. . |
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Solving something graphically is perfectly acceptable. But the drawing tools can induce major inaccuracy in certain situations. Like in this case, two relative bearings that are close together. The point where they cross could be a very slender 'X'. This would lead to a wildly changing intercept angle (W). |
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In general, graphical solutions expose defects in the numbers too! In this condition, with a long narrow triangle, it is child's play to see in the graph how even a tiny difference in one parameter can result in a huge difference in another. That shows a method VERY intolerant of error.
Let's take the triangle where you have a target at an AoB of 10º. There's your long narrow triangle, with you crawling at a knot or so to track the collision course of your normal speed target. Here's where the narrow triangle bites! A lousy quarter knot difference in your speed would change your target speed result by 1.44 knots! In other words, using the collision course method on an 80º AoB target to derive target speed multiplies any error in your speed by almost six times in the resulting target speed! That is terrible precision. Since we can only be accurate to about a half knot, that means that we can only measure the target speed to an accuracy of +-2.88 knots. That's not acceptable. Long narrow triangles mean either great precision or lousy precision, depending on which leg of the triangle you are. If you're the short leg, as in the slow speed of the sub compared to the high speed of the target, you can toss that method out the window for now and use something else until your leverage is much better. Using just the numbers gives you no obvious clue when your method is full of holes or when you've made a critical error that results in a miss. Graphical methods are self-validating. If it's tough to accurately draw that long narrow triangle, that MEANS SOMETHING. Pay attention! On the other hand, if the angles are larger, the figure is much easier to draw and slight errors don't make much difference in the graphical result, that means that your solution is very error tolerant and you can proceed with confidence. So Diopos is exactly right: spread those data points out. Widen those triangles! So rather than numbers being superior, there is more information in a graphical solution which can markedly improve your success rate if you understand what you are looking at. It is the numbers which deceive, by looking precise when they are not. Insert discussion of the concept of significant figures here. 5<>5.0. |
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