Evaluate the statement: 'The phase margin of a control system and the damping ratio of its transient response have no relationship.' Indicate whether this statement is true or false.
-
ATrue
-
BFalse
-
CTrue only for discrete systems
-
DTrue only at high frequency
-
EFalse except at resonance
Answer
Correct Answer: False
Explanation
Introduction / Context:Phase margin and damping ratio are fundamental stability measures in control systems. Phase margin is a frequency-domain specification obtained from Bode or Nyquist plots, while damping ratio is a time-domain parameter that affects overshoot and settling time. There exists a practical relationship between the two, particularly for second-order dominant systems, where phase margin can be related to damping ratio using approximate formulas.
Given Data / Assumptions:
- We are analyzing a unity feedback system with dominant complex-conjugate poles.
- Phase margin (PM) is defined as 180° + phase(G(jω_gc)) at the gain crossover frequency.
- Damping ratio (ζ) is defined from the standard second-order system transfer function response.
Concept / Approach:Approximate correlation exists: PM ≈ tan⁻¹(2ζ / √(√(1+4ζ⁴) − 2ζ²)). This relation shows that higher damping ratios (ζ ~ 0.7) correspond to larger phase margins (~60°), yielding well-damped, low-overshoot responses. Conversely, very low damping ratios produce small phase margins and oscillatory responses.
Step-by-Step Solution:
Phase margin is measured at ω_gc where |G(jω_gc)| = 1.Damping ratio relates to pole locations: s = −ζω_n ± jω_n√(1 − ζ²).By comparing equivalent frequency-domain and time-domain behaviors, formulas linking PM and ζ are derived.Example: ζ = 0.7 ⇒ PM ≈ 65°; ζ = 0.5 ⇒ PM ≈ 55°.Verification / Alternative check:
Textbook plots of phase margin vs damping ratio confirm this correlation empirically.Why Other Options Are Wrong:
'True': incorrect because a definite relationship exists.Other conditional options misstate the fundamental cross-domain connection.Common Pitfalls:
Believing PM and ζ are independent; in reality, they both measure relative stability but in different domains.Final Answer:
False