Mechanics: acceleration & curvature relationship

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Discussion Overview

The discussion revolves around the relationship between acceleration and the curvature of a path in mechanics, specifically exploring how to determine a driving force function that allows an object to move along a specified trajectory without prior knowledge of its speed. Participants consider the implications of existing forces and fields, the role of curvature, and the challenges in deriving a unique solution based solely on the path and total time taken.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether it is possible to derive a driving force function based solely on a known path and existing forces, suggesting a relationship between acceleration and curvature.
  • Another participant proposes numerical methods, such as Runge-Kutta, as typical solutions for similar problems, indicating that analytical solutions may not be feasible.
  • Concerns are raised about the uniqueness of solutions, with one participant arguing that different forces can yield the same trajectory, thus complicating the determination of a unique driving force.
  • Some participants discuss the implications of lateral driving forces and the need for additional constraints to define a unique solution, such as maximum force or optimization criteria.
  • Optimal Control Theory is introduced as a framework for addressing the problem, highlighting the complexity of finding solutions under various constraints.
  • Questions arise regarding the measurement of parameters along the trajectory and the interpretation of derivatives in the context of circular and non-circular paths.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility of deriving a unique driving force based on trajectory and time alone. While some suggest that additional constraints are necessary, others propose methods to explore the problem further. The discussion remains unresolved with multiple competing perspectives on the topic.

Contextual Notes

Limitations include the dependence on specific definitions of forces and trajectories, as well as the unresolved nature of mathematical steps required to derive driving forces. The discussion also highlights the challenges of applying theoretical concepts to practical scenarios.

elegysix
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Is there a way to take a known path, all the existing forces/fields along it, and solve for a driving force function that results in an object moving along that path? but solving it without knowing the speed along that path, only the path itself, and maybe the total time taken from A to B along the path.

the reason I ask: normally force fields are given as functions of position,
and F=ma - so if acceleration can be related to the curvature of a path as a function of position, the problem will get a lot simpler.

The idea is to say

Fdriving(r) + Fexisting fields(r) = ma(r)

but I don't know a(r) outright, because it depends on the driving force, which I want to solve for. so can I take a path S that a(r) will lie on, and change this equation

Fdriving(r) = ma(r) - Fexisting fields(r)

into this one

Fdriving(r) = kC(r) - Fexisting fields(r) ?

is there some relation between acceleration and Curvature of a path/trajectory, C?

or is this even possible?

thanks for any ideas
 
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Hi elegysix! :smile:

I believe the typical method to solve these kind of problems are numerical shooting methods that make use of Runge Kutta to solve the differential equation.
Usually it's not really possible to solve the equation mathematically.
 
Hi,

I just wanted to see if this helps somehow?
(I played a little, and I do not guarantee that it is 100% correct)

Bye
 

Attachments

Thank you for the work, this is good.
in your equation,

[itex]m \ddot{q} = \frac{d\vec{r}}{dq}\cdot\vec{f}[/itex]

If f is given as f(r), and say the trajectory is a circle, is [itex]\frac{d\vec{r}}{dq}[/itex]

then the rate of change of a circle? (like dy/dx or dx/dy of y^2 + x^2 = c)


at the same time, how exactly is q measured? a unit of length along a trajectory?

thanks
 
Suppose the particle has traveled distance x along the path and is moving with velocity v. The direction of v is so as to continue along the next δx, but the speed is unconstrained. Left to the whims of the external forces (which may be a function of v), the velocity v+δv at x+δx may not be what is required to keep v in the direction of the path. A lateral driving force is therefore prescribed to achieve the necessary change in direction. However, the force in direction of travel may be chosen arbitrarily. Repeating this at each infinitesimal δx drives the particle along the path.
Abrupt changes in direction of path can be handled without requiring infinite lateral forces by bringing the particle to rest instantaneously.
Along any smooth section of path, the initial speed and component of driving force in the direction of travel (as a function of x or time, say) can be specified arbitrarily, but the lateral driving force function is then fixed.
 
Hi,

is the force in the radial direction ?
I put one calculation where the force is in the radial direction and has the same origin as the circle (see q.pdf).

Yes, q is the length on a circle (q goes from 0 to 2πR and above).
q/R is then the angle in radians.

Bye
 

Attachments

  • q.pdf
    q.pdf
    282.7 KB · Views: 263
Hi,

Do you mean under the rate of change of a circle the change of radius?
I do not mean such a thing, trajectory is fixed, and the derivative only means the unit vector in the direction of movement (velocity unit vector).
 
Lets take a small mass and fire it in vacuum under constant gravity. The net force applied to the mass is just its weight. Now I take an identical mass, and slowly move it along the same curve. I will have to support the mass to do that, so the net force is not equal to the weight.

Therefore, I have two solutions for exactly the same trajectory with different forces. Constraining total time does not help, because I can carry the mass following the same ballistic trajectory at first faster, and then slower than the actual ballistic flight, giving me same total time, and again, different force applied.

So the answer is no. You cannot find a unique solution for driving force knowing only the trajectory and the time taken.

You can find the average driving force, however, knowing only the initial and final velocities and the potential along the path.
 
K^2 said:
Therefore, I have two solutions for exactly the same trajectory with different forces. Constraining total time does not help, because I can carry the mass following the same ballistic trajectory at first faster, and then slower than the actual ballistic flight, giving me same total time, and again, different force applied.

So the answer is no. You cannot find a unique solution for driving force knowing only the trajectory and the time taken.

I realize that you need more information than just the total time and trajectory, I think though that I could minimize either total time or total work in order to find a unique solution - that might also require something like a maximum force, which is more realistic too.

I would like to get the starting point down first, given a curve and a mass, How do I go from f(r)=m*a(t) to something like f(r)+f(t)=m*C(r) where C is, or is related to, the trajectory and not time. C(r) is what I need to first figure out. f(t) is the family of solutions that I will later minimize or use to find a unique solution.
 
  • #10
zsviben said:
Hi,

is the force in the radial direction ?
I put one calculation where the force is in the radial direction and has the same origin as the circle (see q.pdf).

Yes, q is the length on a circle (q goes from 0 to 2πR and above).
q/R is then the angle in radians.

Bye

I think you might have it figured out, but will you do one more example because I am still somewhat confused?

Could you do this for a non-circular trajectory passing by a radial force origin? like say f(r)=1/r^2, and the trajectory is along y= x^4 - 1 or something similar. Would like to see the Force required to keep the mass on the line.

Or if it is easier, a non-radial force like f=-kx, and a trajectory of y=x for example.

thanks
 
  • #11
elegysix said:
I realize that you need more information than just the total time and trajectory, I think though that I could minimize either total time or total work in order to find a unique solution - that might also require something like a maximum force, which is more realistic too.
Yes, now you are getting into something that is known as Optimal Control Theory. The general problem of Optimal Control is stated thus. Given an initial state and final state, subject to certain constraints, such as specific path, find input, such as applied force, that would optimize a given functional of the trajectory. The functional is usually an integral along the trajectory.

This doesn't guarantee that you'll have unique solution, but it often does. You can optimize time, but without further constraints, the solution will diverge. Obviously, with infinite forces, you can traverse path infinitely fast, giving zero time. You can optimize time under certain constraints however, such as maximum acceleration at any given point.

Optimizing work done has the same problem, since in "perfect world" positive work of accelerating body will offset negative work to slow it down. But if you integrate over just positive work or over absolute value of work done, you can get something that way. If we are talking about a practical case of a rocket following a trajectory, as another example, you might want to optimize fuel consumption under certain time constraint, etc.

In general, optimal control problems are very difficult to solve and require numerical methods. However, if both reaction to input and functional are linear, you can use Linear Optimal Control, which produces a coupled set of linear differential equations for inputs, and can be solved exactly.

A good place to start looking for more information is the Wikipedia article on the topic. Optimal Control. But keep in mind that math associated with OCT is pretty serious.
 
  • #12
Thanks for the advice!
 

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