The PN law multiplies three things together — gain, closing speed, sightline turn-rate:
ac=NVcλ˙=4×800×0.015=48 m/s2.
Divide by g to read it in "g's":
9.8148≈4.89g.What it looks like: a modest, comfortably-flyable command — the sightline is barely drifting.
Recall Solution 1.2
By definition Vc=−R˙=−(−1200)=1200 m/s.
Since Vc>0, the range is shrinking — the missile is closing.
Why the minus sign:R˙ is negative when distance decreases; flipping the sign makes "closing" a positive, intuitive number.
Invert the law ac=NVcλ˙ for λ˙:
λ˙=NVcac=3×100090=0.03 rad/s.What it looks like: the sightline is drifting at 0.03 rad/s — the missile is turning to erase that drift.
Recall Solution 2.2
Require NVcλ˙≤ac,max:
N≤Vcλ˙ac,max=1000×0.04100=40100=2.5.
The largest integer ≤2.5 is N=2 — but recall from the derivation that convergence needs N>2, so N=2 sits on the stability boundary and λ˙ never decays. This is a genuine design conflict: the actuator limit and the stability requirement disagree. See Navigation Constant Selection and Actuator Limits.
What it looks like: you can't satisfy both here — the honest answer is "no integer N both flies within the limit and converges; you must accept a briefly saturated actuator with N=3, or reduce initial λ˙ with a better launch heading."
From the derivation λ˙∝RN−2, so
λ˙0λ˙=(R0R)N−2.
With R/R0=1/20:
A (N=3):(1/20)1=0.05.
B (N=4):(1/20)2=0.0025.
Missile B's residual LOS rate is 20× smaller — its terminal geometry is far closer to a perfect collision course, so it ends cleaner (smaller miss). The figure below shows both curves collapsing as R→0.
Recall Solution 3.2
ac=NVcλ˙ inherits the sign of λ˙ (with Vc,N>0). Take N=4:
t2: ac=4×900×(−0.02)=−72 m/s2 — accelerate the opposite way, toward decreasingλ.
What it looks like: the command flips sign exactly when the drift flips sign — PN is a negative-feedback loop on λ˙, always pushing to null it. See Feedback Control — Nulling an Error Signal.
Substitute (Vc=−R˙, so ac=NVcλ˙=−NR˙λ˙):
Rλ¨+2R˙λ˙=−(−NR˙λ˙)=NR˙λ˙.Collect the R˙λ˙ terms:
Rλ¨=(N−2)R˙λ˙⟹λ˙λ¨=(N−2)RR˙.Integrate both sides in time (left gives lnλ˙, right gives (N−2)lnR):
lnλ˙=(N−2)lnR+C⟹λ˙∝RN−2.Condition: as R→0 we need the exponent positive, i.e. N>2.
Check N=3: exponent =1>0, so λ˙∝R→0. Converges. ✓
The factor of 2 (the Coriolis term, see Coriolis Term in Polar Coordinate Acceleration) is what makes the boundary N>2 rather than N>1.
Recall Solution 4.2
Set λ¨=0 so Rλ¨ drops out:
2R˙λ˙=aT−ac=aT+NR˙λ˙.
Collect λ˙:
2R˙λ˙−NR˙λ˙=aT⟹(2−N)R˙λ˙=aT.λ˙ss=(2−N)R˙aT.Interpretation: a maneuvering target leaves a non-zero residual λ˙ that plain PN can't null — a steady bias. This is exactly the gap that Augmented PN closes by adding a 2NaT feed-forward term. (Note R˙<0 while closing, so with N>2 the sign of λ˙ss tracks aT sensibly.)
(a)ac,0=NVcλ˙0=4×1000×0.05=200 m/s2=200/9.81≈20.4g. (A steep launch command — the sightline drifts fast initially.)
(b)R/R0=2000/8000=1/4, exponent N−2=2:
λ˙=0.05×(1/4)2=0.05×0.0625=0.003125 rad/s.(c)ac=4×1000×0.003125=12.5 m/s2=12.5/9.81≈1.27g.(d) As range collapses, λ˙ falls fast, so the command drops from ∼20g to ∼1.3g — PN front-loads the effort and coasts into a near-perfect terminal geometry. The figure traces ac versus R.
Recall Solution 5.2
Lateral demand ∝λ˙ (with Vc,N equal). Ratio:
apursuitaPN=λ˙0λ˙0(1/10)2=(1/10)2=0.01.
PN demands 1001 of the terminal lateral acceleration — 100× gentler. This is the core reason PN beats pure pursuit: pursuit saves its whole turn for the end, where the airframe has least margin; PN spends it early and arrives relaxed.
Related: Polar Coordinate Kinematics · Closing Velocity and Range Rate.