Step Input Target (= 1.0)TIME (t) β†’STEP RESPONSE y(t)

System Analysis

Adjust continuous system poles to observe damping ratios, frequency response changes, and overall stability bounds.

Γ—
Pole (Active): Determines damping & frequency.
β—‹
Zero (Inactive): Places zeroes to filter out frequencies (not present in this model).
Damping Ratio (ΞΆ)0.316
Natural Freq (Ο‰n)3.16 rad/s
System Stability Status
🟒 Stable (Decaying Response)

Variable Adjuster

Real Part (Οƒ)-1
-44
Imaginary Part (Ο‰d)3
08
Cycle Time (Tc)8s
220

Auto-Sweep Engine

2x

Laplace Transform Explorer

LAPLA

The Laplace transform maps continuous-time functions to the s-domain (s = σ + jω). By plotting system poles (denominator roots of the transfer function) in the complex s-plane, we can evaluate stability. Left-Half Plane (σ < 0) poles generate decaying stable steps, while Right-Half Plane poles cause unstable exponential runaway.

F(s)=∫0∞f(t)eβˆ’stdtF(s) = \int_{0}^{\infty} f(t) e^{-st} dt

Whiteboard Solver Steps

Step 1

s-Domain System Transfer Function

Centroid Poles: - Poles are located at s=σ±jΟ‰d=βˆ’1.00Β±3.00js = \sigma \pm j\omega_d = -1.00 \pm 3.00j. - Natural Frequency Ο‰n=Οƒ2+Ο‰d2=3.16\omega_n = \sqrt{\sigma^2 + \omega_d^2} = 3.16 rad/s. - Damping Ratio ΞΆ=βˆ’ΟƒΟ‰n=0.316\zeta = \frac{-\sigma}{\omega_n} = 0.316.

H(s)=Ο‰n2s2+2ΞΆΟ‰ns+Ο‰n2=10.00s2+2.00s+10.00H(s) = \frac{\omega_n^2}{s^2 + 2\zeta\omega_n s + \omega_n^2} = \frac{10.00}{s^2 + 2.00s + 10.00}
Step 2

Time-Domain Step Response Derivation

System Behavior: - **Damping ratio (ΞΆ=0.32\zeta = 0.32)**: Since ΞΆ<1\zeta < 1, the system is underdamped, resulting in overshoot and oscillations. - The real part Οƒ=βˆ’1.00\sigma = -1.00 acts as the exponential envelope (eΟƒte^{\sigma t}). Because Οƒ<0\sigma < 0, this envelope decays to zero, making the system stable.

Y(s)=H(s)X(s)=H(s)1sβ†’Lβˆ’1y(t)=1βˆ’eβˆ’1.00t(cos⁑(3.00t)βˆ’βˆ’1.003.00sin⁑(3.00t))Y(s) = H(s)X(s) = H(s)\frac{1}{s} \quad \xrightarrow{\mathcal{L}^{-1}} \quad y(t) = 1 - e^{-1.00t} \left( \cos(3.00t) - \frac{-1.00}{3.00} \sin(3.00t) \right)
Step 3

Laplace Transform Utility in Control & AI

Real-World Utility: - Control Systems: Feedback controllers (like PID loops regulating motor speed or robot joints) use Laplace transforms to configure poles in the Left-Half Plane, ensuring stable performance without runaway oscillations. - Analog Filter Circuits: Audio processing hardware (op-amps, passive filters) are designed in the s-domain to shape frequency responses.

G(s)=Y(s)U(s)β€…β€ŠβŸΉβ€…β€ŠPoles LHP (Stable) vs RHP (Unstable)G(s) = \frac{Y(s)}{U(s)} \implies \text{Poles LHP (Stable) vs RHP (Unstable)}