Electrical Engineering (EE) Exam  >  Electrical Engineering (EE) Notes  >  Control Systems  >  Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE)

Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE)

Introduction

The root locus method was introduced by W. R. Evans in 1948. It is a graphical technique used to determine how the closed-loop poles of a linear time-invariant feedback system move in the complex s-plane as a chosen parameter varies. The parameter most commonly varied is the loop gain of the system.

Consider a standard single-loop feedback arrangement with forward transfer function G(s) and feedback transfer function H(s).

Introduction

Characteristic Equation and the Role of Gain

The closed-loop characteristic equation of the system is

1 + G(s)H(s) = 0

If the forward path contains a variable scalar gain K, it is convenient to write G(s) = K G'(s). The characteristic equation then becomes

1 + K G'(s) H(s) = 0

When the parameter K varies, the roots of the characteristic equation (the closed-loop poles) move in the s-plane. Two common ranges for K are:

  • -∞ to +∞ - the complete root locus (both negative and positive K values).
  • 0 to +∞ - the direct root locus (most commonly used in engineering design).

The locus traced by all possible closed-loop pole locations as K varies over the chosen range is called the root locus. When K varies from zero to infinity, the plot is called the direct root locus. When K varies from -∞ to zero, the plot is the inverse root locus. Unless otherwise stated, K is usually taken from 0 to +∞.

Example

Example: Obtain the root locus of the unity feedback system with G(s) = K/s.

Solution
As the system is unity feedback, H(s) = 1.
Write the characteristic equation:
1 + G(s)H(s) = 0
Substitute G(s) = K/s and H(s) = 1:
1 + K/s = 0
Multiply by s to clear the denominator:
s + K = 0
The closed-loop pole satisfies:
s = -K
Since K varies from 0 to +∞ (direct root locus), the closed-loop pole moves along the negative real axis from the origin toward -∞ as K increases.

Example

Basic Definitions and Relationships

  • Open-loop poles and zeros: Poles and zeros of G(s)H(s) determine the starting and ending points of root locus branches. Each branch starts at an open-loop pole (K = 0) and ends at an open-loop zero (K → ∞). If there are fewer finite zeros than poles, the remaining branches tend to zeros at infinity.
  • Number of branches: Equal to the number of open-loop poles (counting multiplicity).
  • Branch start and end points: Start at open-loop poles for K = 0 and terminate at open-loop zeros for K → ∞ (finite zeros) or at infinity if no finite zero exists for that branch.
  • Direct vs inverse root locus: Direct root locus shows movement for K from 0 to +∞; inverse root locus shows movement for K from -∞ to 0.

Rules for Sketching Root Locus (Standard Practical Rules)

1. Real-axis segments

On the real axis, a point is part of the root locus if the number of real open-loop poles and zeros to its right is odd. Mark the real-axis poles and zeros and identify the segments that satisfy this rule.

2. Number of branches

The number of branches of the root locus equals the number of open-loop poles (counting multiplicities). Each branch originates at a pole when K = 0.

3. Asymptotes (when number of poles n > number of zeros m)

If n - m = r branches go to infinity, they do so along straight line asymptotes. The angles of these asymptotes are
φq = (2q + 1) × 180° / (n - m) for q = 0, 1, 2, ..., (n - m - 1).

The centroid (intersection point) of the asymptotes on the real axis is
σ = (Σ poles - Σ zeros) / (n - m)

4. Angle condition

For a point s to lie on the root locus (for some K), the open-loop transfer function must satisfy the angle condition:
∠G'(s)H(s) = (2k + 1) × 180°, where k is any integer.

In practice, compute the angles contributed by each zero and each pole at the point s and verify the net angle equals an odd multiple of 180°.

5. Magnitude condition and determination of K

Once a point s0 satisfies the angle condition, the required gain K that places a closed-loop pole at s0 is found from the magnitude condition:

K = 1 / |G'(s0) H(s0)|

6. Breakaway and break-in points

Breakaway (or break-in) points occur on the real-axis segments where multiple branches meet or split. They satisfy the condition obtained by differentiating the characteristic equation with respect to s and solving for s when K is real and positive:
From 1 + K G'(s) H(s) = 0, express K = -1 / (G'(s)H(s)).
Find values of s on the real axis where dK/ds = 0. Real solutions that lie on the root locus are breakaway or break-in points.

7. Angles of departure/arrival for complex poles/zeros

For a complex pole p, the angle of departure θd is computed so that the net angle condition at p is satisfied. The angle of arrival to a complex zero z is computed similarly. These angles are obtained from the contributions of all other poles and zeros.

8. Imaginary-axis crossings

To find values of K at which the root locus crosses the imaginary axis, substitute s = jω into the characteristic equation and separate real and imaginary parts, then solve for ω and K. The Routh-Hurwitz criterion provides an alternative systematic method to find the range of K for stability and the exact crossing points.

9. Multiple and repeated roots

If the system has repeated poles or zeros, special care is required at those locations; repeated poles are locations where branches may depart with symmetric angles and multiplicity influences local behaviour.

How to Use the Angle and Magnitude Conditions (Worked Guidance)

To test whether a point s0 is on the root locus:

  • Compute the sum of angles from s0 to each zero and subtract the sum of angles from s0 to each pole.
  • Check that the resulting angle equals (2k + 1)180° for some integer k (angle condition).
  • If the angle condition is satisfied, compute K from the magnitude condition K = 1 / |G'(s0)H(s0)|.

Applications of Root Locus

  • Stability analysis: The root locus shows whether closed-loop poles move into the left half of the s-plane with increasing gain and thus whether the system is stable.
  • Damping ratio and natural frequency: Positions of poles give the damping ratio (ζ) and natural frequency (ωn) of dominant modes, which determine transient response characteristics.
  • Gain selection: Determine values of gain K that achieve desired pole locations, damping ratios or settling times.
  • Controller design (P, PI, PID): Root locus is used to choose controller gains and to place additional poles/zeros so that closed-loop poles lie in acceptable regions.
  • Compensator design (lead, lag): Adding zeros (lead compensator) or poles (lag compensator) modifies the root locus path so desired closed-loop behaviour can be obtained.
  • Performance metrics: Root locus plots help estimate gain margin, phase margin, transient response and settling time trends as gain varies.

Advantages and Practical Remarks

  • Root locus provides a visual and intuitive way to study how pole locations change with gain and how stability and transient response are affected.
  • It permits straightforward determination of gain values that produce specified closed-loop pole locations using the magnitude condition.
  • Asymptote and centroid formulae give useful asymptotic behaviour for high gain when zeros are fewer than poles.
  • Root locus is useful even for systems with time delay or higher order dynamics; additional rules or numerical plotting tools are typically used in such cases.
  • It complements frequency-domain methods (Bode, Nyquist) and state-space design techniques; choice depends on design requirements and ease of use.

Illustrative Design Remarks

When designing controllers using root locus:

  • Place added zeros to pull the locus to the left (improve stability and speed) and place poles to shape low-frequency gain or steady-state behaviour.
  • Use root locus to find the smallest gain that achieves a required damping ratio for dominant poles.
  • Combine graphical root locus sketches with algebraic checks (Routh criterion, exact K from magnitude condition) for final verification.

Summary

The root locus is a foundational tool in classical control design. Using the characteristic equation 1 + K G'(s) H(s) = 0, the angle condition and magnitude condition determine whether a point in the s-plane belongs to the locus and the corresponding gain. Practical sketching rules (real-axis segments, asymptotes, breakaway points, departure/arrival angles) together with algebraic checks allow engineers to analyse stability and design controllers (P, PI, PID, lead/lag) to meet dynamic specifications.

The document Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE) is a part of the Electrical Engineering (EE) Course Control Systems.
All you need of Electrical Engineering (EE) at this link: Electrical Engineering (EE)
53 videos|116 docs|40 tests

FAQs on Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE)

1. What is the characteristic equation in control systems?
Ans. The characteristic equation is a polynomial equation derived from the denominator of the transfer function of a control system. It is crucial for determining the stability and dynamic behaviour of the system, as its roots (or poles) indicate the system's response characteristics.
2. How does gain affect the root locus of a system?
Ans. Gain plays a significant role in shaping the root locus, which is a graphical representation of the location of the poles of a system as the gain varies. Increasing the gain can move the poles and affect system stability, oscillation, and transient response. Understanding this relationship helps in the design and tuning of control systems.
3. What are the basic rules for sketching root locus?
Ans. Basic rules for sketching root locus include: identifying the poles and zeros of the system, determining the segments of the real axis that are part of the root locus, calculating the angles of departure and arrival at complex poles and zeros, and ensuring that the root locus begins at the poles and ends at the zeros as gain varies from zero to infinity.
4. What are the angle and magnitude conditions in root locus analysis?
Ans. The angle condition states that the sum of the angles from the poles to a point on the root locus must equal the sum of the angles from the zeros to that point, which is an odd multiple of 180 degrees. The magnitude condition requires that the product of the distances from the poles to the point on the locus equals the product of the distances from the zeros to that point, facilitating the determination of specific gain values for desired system behaviour.
5. What are the advantages of using root locus methods in control system design?
Ans. The advantages of using root locus methods include the visual representation of how changes in system gain affect stability and performance, the ability to design compensators to achieve desired pole locations, and the straightforward approach to analysing system behaviour without the need for extensive simulation, which simplifies the design process and enhances understanding of system dynamics.
Related Searches
Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE), Previous Year Questions with Solutions, past year papers, ppt, Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE), Objective type Questions, practice quizzes, mock tests for examination, Semester Notes, MCQs, Exam, video lectures, Important questions, Free, Viva Questions, study material, Summary, Basic Concepts of Root Locus - Control Systems - Electrical Engineering (EE), shortcuts and tricks, Extra Questions, Sample Paper, pdf ;