Particle moving at varying speed along a path

AI Thread Summary
The discussion focuses on traversing an arbitrary path X(u) at a variable speed defined by a sigmoid function σ(t), starting from an initial speed s0 and aiming to reach a maximum speed s1 without exceeding a maximum acceleration A. The user seeks a method to construct the speed function intelligently rather than through trial and error, while ensuring that the speed function's derivative remains symmetrical. Key considerations include the relationship between the path length L and the speed function, as well as the constraints imposed by acceleration limits. Suggestions include formulating equations based on the specified requirements to find a solution. The conversation emphasizes the need for a systematic approach to derive the desired speed function.
jumbo1985
Messages
19
Reaction score
1
Suppose I have a arbitrary path X(u) for u∈[0,1] of length L.

I want to traverse the path at a variable speed (I'm only really concerned about the magnitude of velocity). I want the graph of my speed function σ(t) to have the shape of a sigmoid and I want it to start at an arbitrary value s0 and be bounded by an arbitrary value s1. There's a bound on the maximum magnitude of acceleration equal to A. I want to get to my maximum speed or s1 as fast as possible while not going over the acceleration limit.

From basic calculus and physics I know that:
L = \int_{0}^{t}\sigma(t) dt

I know the value of L. I know that my function will be some form of
\sigma_{1}(t) = 1/(1+e^{-t})
There's a lot that I don't know unfortunately.

Is there a way to build my function σ(t) other than guessing? If not, how to best go about making intelligent guesses so that I eventually converge to my desired function?

Any suggestions welcome. Thanks!
 
Last edited:
Physics news on Phys.org
s0 and s1 are given, and s1 is the maximum of the sigmoid function?
How much are you allowed to modify this function?

The maximal derivative of the sigmoid function can be calculated, and can be set equal to A. That will always reduce the number of unknowns by one.
 
At u=0, my speed is s_{0} and by the time I get to the end of the curve (u=1), I may be traveling at my maximum speed s_{m} or I may only get up to some speed s_{1} < s_{m}

I suppose this depends on the length of the curve, the maximum speed, the maximum (magnitude of) acceleration, etc.

I'm allowed to modify this curve but I would like to have the (magnitude of) acceleration curve (σ'(t)) be as symmetrical as possible.

Thanks!
 
Well, you can write down the corresponding equations to those requirements, and then see how to solve the equations.
 
Hi there, im studying nanoscience at the university in Basel. Today I looked at the topic of intertial and non-inertial reference frames and the existence of fictitious forces. I understand that you call forces real in physics if they appear in interplay. Meaning that a force is real when there is the "actio" partner to the "reactio" partner. If this condition is not satisfied the force is not real. I also understand that if you specifically look at non-inertial reference frames you can...
I have recently been really interested in the derivation of Hamiltons Principle. On my research I found that with the term ##m \cdot \frac{d}{dt} (\frac{dr}{dt} \cdot \delta r) = 0## (1) one may derivate ##\delta \int (T - V) dt = 0## (2). The derivation itself I understood quiet good, but what I don't understand is where the equation (1) came from, because in my research it was just given and not derived from anywhere. Does anybody know where (1) comes from or why from it the...
Back
Top