NyquistPlot Block
Visualizes the complex plane frequency response (Real vs Imaginary).
Open NyquistPlot in BlockWerk →Description
The Nyquist Plot block visualizes the frequency response of a system as a polar plot in the complex plane. It plots the real part of the frequency response on the horizontal axis and the imaginary part on the vertical axis.
The Nyquist plot is a powerful tool for analyzing closed-loop stability using the open-loop frequency response. It captures both magnitude and phase information in a single, intuitive trajectory.
Mathematical Model
The plot maps the loop transfer function $L(j\omega)$ for $0 \leq \omega < \infty$.
- Real Axis: $Re[L(j\omega)]$
- Imaginary Axis: $Im[L(j\omega)]$
Stability can be determined by counting encirclemtents of the critical point $(-1, j0)$.
Parameters
Title (title)
Heading shown above the plot area.
- Type: string
- Default:
Nyquist Plot
Show Unit Circle (showUnitCircle)
Toggle visibility of the unit circle (radius=1) centered at the origin.
- Type: boolean
- Default:
true - Use Case: Helps visualize the gain margin and phase margin transition points.
Examples
Stable First-Order System
System: $G(s) = \frac{1}{s + 1}$. The Nyquist plot is a semi-circle in the right half-plane, starting at (1, 0) for $\omega=0$ and ending at (0, 0) for $\omega \to \infty$.
Conditionally Stable System
A higher-order system might pass close to the $(-1, j0)$ point. The Nyquist plot helps visualize how much phase lag or gain can be added before the system becomes unstable.
Remarks
- Polar Interpretation: The distance from the origin is the magnitude $|L(j\omega)|$, and the angle from the positive real axis is the phase $\angle L(j\omega)$.
- Stability Analysis: A closed-loop system is stable if the number of counter-clockwise encirclements of the $(-1, j0)$ point equals the number of open-loop poles in the right-half plane.
- Interactive Update: Like the Bode plot, the Nyquist plot updates in real-time as the simulation frequency sweep progresses.
See Also
- BodePlot: Alternative frequency-domain visualization.
- TransferFunction: Define the system being analyzed.