How do I make a compensation vector?

  • Thread starter yamugushi
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In summary, the student is working on an airplane project in pre-calc and needs help with a physics-related problem involving a plane's direction and wind speed. They recall learning about vector addition in class but are unsure how to apply it to this problem. They are concerned about getting it right as this project is a significant part of their grade.
  • #1
yamugushi
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Homework Statement


I'm currently doing an airplane project in pre-calc, it is physics related so I put it here.
The problem is I have a plane, it's going N74W, wind is going N20E, the resultant vector is 324mph, and N67W, how do I compensate?


Homework Equations


I remember going over it once in class but I really don't want to screw it up since this project (which is a lot bigger than just this problem) is supposed to be a big part of the grade.


The Attempt at a Solution


I think I'm just supposed to make a vector go NxW, but I'm not sure how to get it.
 
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  • #2
Hi yamugushi! :smile:

Relative velocities obey the law of vector addition, so draw a vector triangle :wink:
 
  • #3


I would suggest approaching this problem by first understanding the concept of vector addition. In this case, the plane's velocity and the wind's velocity are two separate vectors that need to be added together to find the resultant velocity. To do this, you can use the parallelogram method or the head-to-tail method. Once you have found the resultant vector, you can use trigonometry to determine its magnitude and direction.

Next, to compensate for the wind, you can use the concept of vector subtraction. This means that you need to subtract the wind's velocity vector from the resultant velocity vector to find the actual velocity of the plane. This will give you a new vector that represents the plane's actual velocity and direction.

To represent this in a compensation vector, you can use the opposite direction of the wind's velocity vector with the same magnitude. This will give you a vector that, when added to the original plane's velocity vector, will result in the desired resultant vector of 324mph and N67W.

In summary, to make a compensation vector, you need to use vector addition and subtraction to find the resultant vector and the direction of the wind's effect on the plane's velocity. Then, use the opposite direction of the wind's velocity vector with the same magnitude to create the compensation vector. I hope this helps!
 

FAQs about Compensation Vectors:

1. How do I calculate a compensation vector?

To calculate a compensation vector, you need to first determine the desired compensation function and the variables involved in the compensation process. Then, use mathematical equations or software programs to calculate the values for each variable and combine them to create the compensation vector.

2. What is the purpose of a compensation vector?

A compensation vector is used to correct for measurement errors or biases in data. It is commonly used in scientific experiments and studies to ensure accurate and reliable results by accounting for any confounding variables.

3. How do I interpret a compensation vector?

The interpretation of a compensation vector depends on the specific context and variables involved. In general, a compensation vector represents the direction and magnitude of the correction needed to account for measurement errors or biases. It can also indicate the relative importance of each variable in the compensation process.

4. Can a compensation vector be negative?

Yes, a compensation vector can be negative. This means that the correction required for a particular variable is in the opposite direction of the original measurement. In other words, the variable needs to be decreased rather than increased to account for measurement errors or biases.

5. Are there any limitations to using compensation vectors?

While compensation vectors can be useful in correcting for measurement errors, they are not a perfect solution. They rely on accurate and complete data, and if the underlying assumptions are not met, the compensation vector may not be effective. Additionally, compensation vectors may not be able to account for all sources of error, so it is important to use them in conjunction with other methods of data analysis and quality control.

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