PID and Servo-Control Simulators Back to library
Controls / PID

PID and Servo-Control Simulators

A controls hub for PID tuning, cascade loops, 2-DOF control, Smith prediction, servo behavior, and PWM-related control response.

10 related simulators

This hub groups closely related tools with static links. Individual simulator URLs stay unchanged while users can move quickly to the right calculation.

Core simulators
PID Controller Simulator
Tune PID controller parameters (Kp, Ti, Td) in real time.
PID Tuning Method Comparison (Z-N / IMC / SIMC)
Compare Ziegler-Nichols, Cohen-Coon, IMC, and SIMC PID tuning methods for FOPDT processes.
Anti-Windup PI Controller Simulator — Free Online Tool
Anti-windup PI simulator compares standard PI, back-calculation anti-windup PI, and ideal PI on a 1st-order plant with input saturation, showing oversho...
Cascade Control Simulator — Dual-Loop PID Step Response
Interactive cascade (dual-loop) PID control simulator.
Two-Degree-of-Freedom Control Simulator
The 2-DoF control simulator compares 1-DoF and 2-DoF responses of a PI loop with a reference pre-filter, showing how setpoint tracking and disturbance r...
Smith Predictor Simulator — Dead-Time Compensation vs PI
The Smith predictor simulator compares the step response of a standard PI controller and a Smith predictor on a first-order plus dead-time process, in r...
Inverse Response Simulator
The inverse response simulator visualizes the step response of a process with a right-half-plane (RHP) zero and a PI control loop, showing why the outpu...
Servo Motor Torque-Speed Curve Calculator
Interactive calculator to plot servo motor torque-speed curves, power, and efficiency.
Servo Mechanism Calculator
Calculate servo system performance: bandwidth, phase margin, Bode plots, settling time, and PID tuning for optimal 45° stability.
PWM Motor Control Calculator
Calculate PWM duty cycle, frequency, voltage, ripple current, losses & LC filter design for motor control.

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FAQ

What do P, I, and D change in PID control?
P changes response strength, I removes steady-state error, and D anticipates change and adds damping. Excessive gains can cause oscillation or noise amplification.
When is cascade control useful?
It is useful when a fast inner process can suppress disturbances before they affect a slower outer process.
What if a PID tuning page is not enough?
If dead time, non-minimum-phase behavior, saturation, or disturbance paths dominate, compare Smith prediction, 2-DOF control, and anti-windup tools.