- Root Locus Technique Defined: Root locus in control system is a graphical approach used to analyze the effects of varying system parameters on the stability and performance of a control system.
- Advantages: This technique is beneficial as it simplifies predicting and enhancing system stability and response by visual means.
- Characteristic Equation and Break Points: The root locus operates based on a characteristic equation, helping identify critical points like break away or break in points which are essential for stability analysis.
- Asymptotes and Angles: The direction of root paths is determined by asymptotes, calculated from the system’s poles and zeros, providing insight into potential stability issues.
- Stability and Margins: Using root locus, engineers can calculate gain and phase margins to ensure the system operates stably under various conditions.
Developed by Walter R. Evans, the root locus technique plots the closed-loop poles of a feedback system as a selected real gain varies. For a loop transfer function K G(s)H(s), the roots satisfy the characteristic equation shown below.
Open-loop poles and zeros determine the locus geometry. Closed-loop pole locations help estimate continuous-time stability and transient modes for the model, but performance also depends on zeros, input-output paths and nonlinear limits. Unmodelled inductance, capacitance and other uncertainty require robustness analysis rather than a different gain branch on the same plot. The root locus technique in control system design helps select gain and compensator poles or zeros by showing how the model’s closed-loop poles move.
Its main practical uses are listed below.
Advantages of Root Locus Technique
- It gives a visual relation between a varying gain and the closed-loop pole locations.
- It identifies gain ranges that place all modelled continuous-time closed-loop poles in the left half-plane.
- It supports compensator design by showing how added poles and zeros reshape the locus.
The following terms apply to the standard positive-gain root locus of a real-coefficient rational loop transfer function.
- Characteristic Equation Related to Root Locus Technique: For loop transfer K G(s)H(s), closed-loop poles satisfy 1 + K G(s)H(s) = 0. Expressing K as a function of s and solving dK/ds = 0 gives candidate multiple-root points, which must also satisfy the root-locus conditions and a permitted gain.
- Breakaway Points: At a real-axis breakaway point, two or more branches meet and leave the real axis as gain changes. The characteristic equation 1 + K G(s)H(s) = 0 has a multiple root there. A stationary value of K is only a candidate: it need not be a maximum, and candidates outside valid real-axis locus segments or with invalid gain are rejected.
- Break-in Point: At a break-in point, branches enter a valid real-axis segment. Find it from the same multiple-root condition, then check the angle and gain rules. A useful geometric case is:
a valid real-axis segment may lie between adjacent zeros
.
- Centroid: When the loop has more finite poles than finite zeros, the branches that end at infinity approach asymptotes through a real-axis centroid. It equals the sum of open-loop poles minus the sum of open-loop zeros, divided by the pole excess. The centroid is denoted by σA.

Here, N is the number of open-loop poles and M is the number of finite open-loop zeros. - Asymptotes of Root Loci: If N exceeds M, N – M branches end at infinity and approach straight-line asymptotes through the centroid. These lines describe large-gain branch directions, not the departure direction from every breakaway point.
- Angle of Asymptotes: For positive gain and a positive leading coefficient, the asymptote angles follow the formula below.

Use p = 0, 1, 2, … , N – M – 1.
N is the number of open-loop poles.
M is the number of finite open-loop zeros. - Angle of Arrival or Departure: Apply the root-locus angle condition near a complex pole to calculate departure angle, or near a complex zero to calculate arrival angle. Sum the angles contributed by all other poles and zeros with a consistent sign convention.
- Intersection of Root Locus with the Imaginary Axis: The Routh-Hurwitz criterion can find gain values at which continuous-time closed-loop roots lie on the imaginary axis. The auxiliary equation from the relevant zero row gives the crossing frequency when the standard Routh conditions apply.
- Gain Margin: Gain margin is a frequency-domain measure of how much loop gain can change before a specified Nyquist stability boundary is reached. A root-locus imaginary-axis crossing can identify the corresponding critical positive gain for suitable systems. The formula below uses the page’s stated convention.

- Phase Margin: Read phase margin from the open-loop frequency response at a gain-crossover frequency. Root-locus geometry alone does not provide it. Under the stated convention:

- Symmetry of Root Locus: For a real-coefficient characteristic equation, the root locus is symmetric about the real axis because complex roots occur in conjugate pairs.
After a point s satisfies the angle condition, its gain follows from the magnitude condition:
- Magnitude Criterion: At a point on the root locus, apply the magnitude condition shown below.

This gives K for that point under the transfer-function convention used in the equation. - Pole-Zero Distances: The same magnitude condition can be evaluated as a ratio of distances from s to the open-loop poles and zeros:

Root Locus Plot
A root locus plot shows the modelled closed-loop pole locations for each permitted value of K. For a continuous-time system, gain ranges with all poles in the open left half-plane are asymptotically stable, subject to hidden modes and modelling assumptions. The plot does not by itself prove optimal performance or robustness.
Two basic construction rules are:
- Real-axis segments: For the standard positive-gain locus, a point on the real axis belongs to the locus when the number of real open-loop poles and zeros to its right is odd.
Complex poles and zeros do not enter this particular real-axis count. - Number of branches: The number of root-locus branches equals the number N of open-loop poles. If N exceeds M, then N – M branches terminate at infinity along the asymptotes.
Procedure to Plot Root Locus
The following procedure sketches the standard positive-gain root locus plot for a suitable real-coefficient rational single-loop model.
- Find and plot all finite open-loop poles and zeros on the complex plane.
- Start one branch at each open-loop pole when K = 0. As K tends to infinity, branches end at finite open-loop zeros or at infinity. When pole count exceeds zero count, the number ending at infinity equals the difference between the number of poles & number of zeros of G(s)H(s).
- Mark valid real-axis segments using the odd-count rule for the chosen gain sign.
- Calculate candidate breakaway and break-in points from dK/ds = 0, then reject points that fail the locus or gain conditions.
- If N exceeds M, plot the centroid and N – M asymptotes at their calculated angles.
- Calculate departure and arrival angles where needed, and find any imaginary-axis crossing with Routh-Hurwitz or direct substitution.
- Use the magnitude condition to determine K at selected points, then verify computed closed-loop roots.
This procedure gives a sketch of the root locus plot. Numerical plotting and direct closed-loop pole calculation should verify the sketch, especially near repeated roots and stability boundaries.
- Calculate gain margin from the open-loop frequency response if it is a required specification.
- Calculate phase margin from the open-loop frequency response.
- Use a Routh array to verify the continuous-time stability range where its assumptions apply.





