Nirnay

PID controller

C(s) = K_p + K_i/s + K_d·Ns/(s+N)

K_pproportional

K_iintegral

K_dderivative

Nderivative filter pole

Sliders span 0–50. Type any value into the number field to go outside that range.

Plant

Preset

Numerator

Denominator

Coefficients separated by spaces or commas, highest power first: 1 0.6 1 means s² + 0.6s + 1.

Design specification

Max overshoot%

Max settling times

Max steady-state errorabsolute

Min phase margindeg

Step response

closed loop · unit step · reference and ±2% band shown

Bode

open loop · magnitude and phase

Poles & zeros

root locus · closed-loop poles

Metrics

— —

Time domain

Overshoot: —%—
Rise time 10–90%: —s
Settling time ±2%: —s—
Peak value: —
Peak time: —s
Steady-state error: ——

Frequency domain open loop

Gain margin: —dB
Phase margin: —deg—
Gain crossover: —rad/s
Phase crossover: —rad/s

Dominant closed-loop pole

Pole: —
Damping ratio ζ: —
Natural frequency ω_n: —rad/s

Agent activity

No tool calls yet. Anything an agent does through WebMCP is logged here.

For agents

The plots on this page are <canvas> renderings. There is no DOM text to scrape and no way to recover a number from the pixels. An AI agent connected over WebMCP does not have to try: this page registers site tools that hand back the simulation output itself — overshoot, rise and settling time, steady-state error, gain and phase margin, closed-loop pole locations.

The same tools set the controller gains and the plant, and every write returns the resulting metrics, so an agent can close the tuning loop: adjust, measure, adjust again. You watch the curves move while it works, and you can take any slider back at any moment.