Root locus — Evans' method, rules for sketching
WHAT is the root locus?
WHY this equation? The closed-loop transfer function is
Poles are where the denominator vanishes, i.e. . Everything below flows from this one line.
Deriving the two conditions from scratch
Write . Characteristic equation:
Now is a complex number with magnitude 1 and angle (or any odd multiple). Splitting into magnitude and angle:
The sketching rules (each DERIVED, not memorized)
Let = number of open-loop poles (roots of ), = number of open-loop zeros (roots of ). Assume .
Rule 1 — Start and end. Rewrite as .
- : → branches start at open-loop poles.
- : divide by , → branches end at open-loop zeros. There are branches; end on finite zeros, the remaining go to infinity.
Rule 2 — Symmetry. Coefficients are real, so complex poles come in conjugate pairs → the locus is symmetric about the real axis.
Rule 3 — Real-axis segments. A real point lies on the locus if the number of real poles+zeros to its right is odd. WHY? Angle contributions from complex-conjugate pairs cancel; each real singularity to the right contributes . Odd count → total is an odd multiple of → angle condition met.
Rule 4 — Asymptotes. The escaping branches approach straight lines with angles
meeting the real axis at the centroid
WHY the centroid? For large , after matching the first two terms of the polynomial division — the far-field looks like a single pole of multiplicity at the centroid.
Rule 5 — Breakaway/break-in points. Where branches leave or rejoin the real axis, two poles coincide → is at a local extremum. Solve
WHY? At a double root the polynomial has a repeated root, so turns around: .
Rule 6 — -axis crossing. Use Routh–Hurwitz on to find the that makes a whole row zero; the auxiliary equation gives the crossing frequency . This is the critical gain for stability.
Rule 7 — Angle of departure/arrival (from complex pole/zero ):
WHY? Apply the angle condition to a test point infinitesimally close to .

Worked Example 1 —
Poles: (). Zeros: none ().
Step — Real axis segment. Why? Between and , exactly one pole () sits to the right of any interior point → odd → segment is on the locus. ✔
Step — Asymptotes. so . Centroid . Why centroid at ? It's the average of the poles. Branches shoot straight up and down from .
Step — Breakaway. . Set . Why here? Symmetry demanded the breakaway between the two real poles; the algebra confirms .
Step — Gain at breakaway. . So at we get a double pole at ; beyond that, poles become complex with real part (constant damping).
Insight: This system is stable for all — the vertical asymptote never crosses into the right half plane.
Worked Example 2 —
Poles (), .
Asymptotes. ; . Why 3 asymptotes? branches all escape.
crossing (Routh). Char. eqn: . Routh array first column needs . At : auxiliary . Why this matters: the locus crosses the imaginary axis at when — that is the maximum stable gain.
Recall Feynman: explain to a 12-year-old
Imagine two magnets (the poles) on a table and a dial. When the dial is at zero, two little beads sit exactly on the magnets. As you turn the dial up, the beads slide along fixed paths — sometimes toward "target dots" (zeros), sometimes flying off toward the edges along straight ramps. The root locus is just the drawing of those bead paths. If a bead crosses a red danger line (the imaginary axis), the machine starts shaking uncontrollably (unstable). You use the drawing to pick a dial setting that keeps all beads safely on the good side.
Flashcards
What equation defines every point of the root locus?
Which condition determines the SHAPE of the locus (independent of K)?
Which condition gives the gain K at a chosen point?
Where do branches start and end as K goes 0→∞?
How many branches go to infinity?
Real-axis rule for the locus?
Asymptote angles formula?
Asymptote centroid formula?
How do you find breakaway points?
How do you find where the locus crosses the imaginary axis?
Why is the locus symmetric about the real axis?
For , where is the breakaway point and its gain?
Connections
- Characteristic equation & closed-loop poles
- Routh–Hurwitz stability criterion
- PID / PD controller design — adding zeros to reshape the locus
- Bode plot & frequency response — magnitude/phase alternative view
- Nyquist criterion — encirclement view of
- Damping ratio and settling time — reading off pole locations
- GNC control loops — where gain tuning lands in autopilots
Concept Map
Hinglish (regional understanding)
Intuition Hinglish mein samjho
Dekho, root locus ka basic idea simple hai: tumhare feedback system mein ek gain knob hota hai jise hum bolte hain. Jaise-jaise tum ko se tak ghumate ho, closed-loop poles complex plane mein move karte hain. Root locus bas unn poles ka rasta (path) draw kar deta hai. Iska sabse bada faayda — tumhe polynomial solve karne ki zaroorat hi nahi. Sirf kuch geometric rules se path bana lo aur turant pata chal jaayega ki system stable rahega ya nahi, aur response kitna fast/damped hoga.
Sab kuch ek hi equation se nikalta hai: , yaani . Ab ka magnitude hai aur angle . Isse do conditions banti hain — angle condition jo locus ki shape deti hai (gain se independent!), aur magnitude condition jo har point pe ki value batati hai. Mantra yaad rakho: "Shape it, then gain it."
Rules practical hain: branches poles se start hoti hain aur zeros pe end (ya infinity par jaati hain, total branches). Real axis par ek point locus par hai agar uske right mein poles+zeros ki count odd ho. Infinity waali branches asymptotes follow karti hain jinka centroid hota hai. Breakaway point se, aur imaginary axis crossing Routh-Hurwitz se — yahi crossing tumhara maximum stable gain deta hai.
GNC (autopilot, missile guidance) mein yeh bahut kaam ka hai kyunki gain tuning direct pole locations se juda hota hai. Agar system slow ya oscillatory hai, tum ek zero (PD controller) add karke locus ko left half plane ki taraf kheench lete ho — isse stability aur speed dono improve hoti hai. Isliye root locus sirf theory nahi, real controller design ka backbone hai.