Root locus technique and a digital computer solution.
Read Online

Root locus technique and a digital computer solution. by David Allan Wallace

  • 840 Want to read
  • ·
  • 18 Currently reading

Published .
Written in English


  • Roots, Numerical.,
  • Control theory.

Book details:

The Physical Object
Paginationvi, 54 l.
Number of Pages54
ID Numbers
Open LibraryOL16745948M

Download Root locus technique and a digital computer solution.


Root Locus 3 ROOT LOCUS PROCEDURE Step 2: Determine the Parts of the Real Axis that are the Root Locus The root locus lies at all points on the real axis to the left of an odd number of poles and zeros that lie on the real axis. This arises because of the angle criterion (Eq. 5) and the symmetry of the root locus. Question: A) Consider System Given In FigureQ5a. Use The Root Locus Technique And Design A Lead-lag Compensator (Ge(s)) To Achieve The Desired Performance Characteristics If The Plant Transfer Function (G,(s)) Is Given By; 1 Ge(s) S(s+2) Desired Performance Characteristics: • The Settling Time (ts) Requirement Is: *NC Seconds • Rise Time (tr) Requirement.   The root locus technique in control system was first introduced in the year by Evans. Any physical system is represented by a transfer function in the form of We can find poles and zeros from G (s). The location of poles and zeros are crucial keeping view stability, relative stability, transient response and error analysis. Root Locus is a frequency domain technique used in investigating the roots of characteristic equation when a certain parameter varies. In general it can be applied to any algebraic equation of the form F(x) =P(x) +K*Q(x) =0. with P(x) is a polynomial of order n and Q(x) is a polynomial of order m (n, m are integers) K as variable parameter and.

In the root locus diagram, we can observe the path of the closed loop poles. Hence, we can identify the nature of the control system. In this technique, we will use an open loop transfer function to know the stability of the closed loop control system. The Root locus is the locus of the roots of the. Design Via Root Locus ELECAlper Erdogan 1 – 18 Ideal Derivative Compensation (PD) Observations and facts: † In each case gain K is chosen such that percent overshoot is same. † Compensated poles have more negative real and imaginary parts: smaller settling and peak times. One of the most common analytical tools is the root locus plot. This is a graphical method that depicts how a system performance changes by tuning the gain in a feedback system. To facilitate the students’ exploration of the root locus method the authors present a student centered project involving the construction of a Microsoft Excel. In control theory and stability theory, root locus analysis is a graphical method for examining how the roots of a system change with variation of a certain system parameter, commonly a gain within a feedback system. This is a technique used as a stability criterion in the field of classical control theory developed by Walter R. Evans which can determine stability of the system. The root locus plots the poles of the closed loop transfer .

Root Locus ELECAlper Erdogan 1 – 7 Real Axis Segments † Which parts of real line will be a part of root locus? † Remember the angle condition 6 G(¾)H(¾) = (2m+1) 6 G(¾)H(¾) = X 6 (¾ ¡zi)¡ X 6 (¾ ¡p i) † The angle contribution of off-real axis poles and zeros is zero. (Because they appear in complex pairs). † What matters is the the real axis poles and zeros. K. Webb MAE 22 Real‐Axis Root‐Locus Segments Now, determine if point 6is on the root locus Again angles from complex poles cancel Always true for real‐axis points Pole and zero to the leftof O 6 contribute 0° Always true for real‐axis points Two poles to the rightof O 5: ∠ O 6 F L 5∠ O 6. equation, one can use the Root Locus technique to find h ow a positive controller design parameter affects the resulting CL poles, from which one can choose a right value for the controller parameter. Examples of the root locus techniques. The roots of the characteristic equations are at s=-1 and s=±j (i.e., the roots of the characteristic equation s 3 +6s 2 +45s+40), so we might expect the behavior of the systems to be the pole at s=-1 is closer to the origin, we would expect it to dominate somewhat, giving the system behavior similar to a first order system with a.