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Historical approaches

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Historical approaches

Historical approaches

Until the rise of space travel in the twentieth century, there was little distinction between orbital and celestial mechanics. The fundamental techniques, such as those used to solve the Keplerian problem, are therefore the same in both fields. Furthermore, the history of the fields is almost entirely shared.

Kepler's equation

Kepler was the first to successfully model planetary orbits to a high degree of accuracy.

Derivation

To compute the position of a satellite at a given time (the Keplerian problem) is a difficult problem. The opposite problem�to compute the time-of-flight given the starting and ending positions�is simpler. We present a derivation for the time-of-flight equation here.

Kepler's construction for deriving the time-of-flight equation.  The bold ellipse is the satellite's orbit, with the star or planet at one focus Q.  The goal is to compute the time required for a satellite to travel from periapsis P to a given point S.  Kepler circumscribed the blue auxiliary circle around the ellipse, and used it to derive his time-of-flight equation in terms of eccentric anomaly.
Kepler's construction for deriving the time-of-flight equation. The bold ellipse is the satellite's orbit, with the star or planet at one focus Q. The goal is to compute the time required for a satellite to travel from periapsis P to a given point S. Kepler circumscribed the blue auxiliary circle around the ellipse, and used it to derive his time-of-flight equation in terms of eccentric anomaly.

The problem is to find the time t at which the satellite reaches point S, given that it is at periapsis P at time t = 0. We are given that the semimajor axis of the orbit is a, and the semiminor axis is b; the eccentricity is e, and the planet is at Q, at a distance of ae from the center C of the ellipse.

The key construction that will allow us to analyse this situation is the auxiliary circle (shown in blue) circumscribed on the orbital ellipse. This circle is taller than the ellipse by a factor of a / b in the direction of the minor axis, so all area measures on the circle are magnified by a factor of a / b with respect to the analogous area measures on the ellipse.

Any given point on the ellipse can be mapped to the corresponding point on the circle that is a / b further from the ellipse's major axis. If we do this mapping for the position S of the satellite at time t, we arrive at a point R on the circumscribed circle. Kepler defines the angle PCR to be the eccentric anomaly angle E. (Kepler's terminology often refers to angles as "anomalies".) This definition makes the time-of-flight equation easier to derive than it would be using the true anomaly angle PQS.

To compute the time-of-flight from this construction, we note that Kepler's second law allows us to compute time-of-flight from the area swept out by the satellite, and so we will set about computing the area PQS swept out by the satellite.

First, the area PQR is a magnified version of the area PQS:

PQR = \frac{a}{b} PQS

Furthermore, area PQS is the area swept out by the satellite in time t. We know that, in one orbital period T, the satellite sweeps out the whole area πab of the orbital ellipse. PQS is the t / T fraction of this area, and substituting, we arrive at this expression for PQR:

PQR = \frac{t}{T} \pi a^2

Second, the area PQR is also formed by removing area QCR from PCR:

PQR = PCR - QCR \;

Area PCR is a fraction of the circumscribed circle, whose total area is πa2. The fraction is E / 2π, thus:

PCR = \frac{a^2}{2}E

Meanwhile, area QCR is a triangle whose base is the line segment QC of length ae, and whose height is asinE:

QCR = \frac{a^2}{2} e \sin E

Combining all of the above:

PQR = \frac{t}{T} \pi a^2
 = \frac{a^2}{2}E - \frac{a^2}{2} e \sin E

Dividing through by a2 / 2:

\frac{2 \pi}{T}t = E - e \sin E

To understand the significance of this formula, consider an analogous formula giving an angle M during circular motion with constant angular velocity n:

nt = M \;

Setting n = 2π / T and M = EesinE gives us Kepler's equation. Kepler referred to n as the mean motion, and EesinE as the mean anomaly. The term "mean" in this case refers to the fact that we have "averaged" the satellite's non-constant angular velocity over an entire period to make the satellite's motion amenable to analysis. All satellites traverse an angle of per orbital period T, so the mean angular velocity is always 2π / T.

Substituting n into the formula we derived above gives this:

nt = E - e \sin E \;

This formula is commonly referred to as Kepler's equation.

Application

With Kepler's formula, finding the time-of-flight to reach an angle (true anomaly) of θ from periapsis is broken into two steps:

  1. Compute the eccentric anomaly E from true anomaly θ
  2. Compute the time-of-flight t from the eccentric anomaly E

Finding the angle at a given time is harder. Kepler's equation is transcendental in E, meaning it cannot be solved for E analytically, and so numerical approaches must be used. In effect, one must guess a value of E and solve for time-of-flight; then adjust E as necessary to bring the computed time-of-flight closer to the desired value until the required precision is achieved. Usually, Newton's method is used to achieve relatively fast convergence.

The main difficulty with this approach is that it can take prohibitively long to converge for the extreme elliptical orbits. For near-parabolic orbits, eccentricity e is nearly 1, and plugging e = 1 into the formula for mean anomaly, E − sinE, we find ourselves subtracting two nearly-equal values, and so accuracy suffers. For near-circular orbits, it is hard to find the periapsis in the first place (and truly circular orbits have no periapsis at all). Furthermore, the equation was derived on the assumption of an elliptical orbit, and so it does not hold for parabolic or hyperbolic orbits at all. These difficulties are what led to the development of the universal variable formulation, described below.

Perturbation theory

One can deal with perturbations just by summing the forces and integrating, but that is not always best. Historically, variation of parameters has been used which is easier to mathematically apply with when perturbations are small.



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