Skip to content

Control

Initial Value Theorem

The initial value theorem relates the behavior of a function as time approaches zero to its Laplace transform, helping analyze system response at the start.

Fundamentals of negative feedback systems

Feedback systems use a portion of the output signal to influence the input, improving stability, accuracy, and performance of electrical and control systems.

Nyquist stability criteria

A Nyquist plot is a graphical representation of a system’s frequency response, showing the real and imaginary parts of the open-loop transfer function.

Second order systems

Second order systems are dynamic systems characterized by a second order differential equation, commonly seen in electrical systems.

State space analysis

State space analysis models dynamic systems using a set of first-order differential equations representing system states, inputs, and outputs.

Root locus plot

Root locus is a graphical method used to analyze how the roots of a feedback system’s characteristic equation change with varying system gain.

Final Value Theorem

The final value theorem relates the steady-state value of a time-domain function to its Laplace transform, predicting long-term system behavior.

Routh-Hurwitz Criterion

The Routh-Hurwitz criteria provide a systematic method to determine the stability of a linear control system by examining the signs and magnitudes of the coefficients of its characteristic equation.

Positive feedback system

A Positive Feedback Circuit is one in which a portion of the output signal is fed back to the input in phase, reinforcing the input signal and increasing the overall gain.

Basics of control systems

Control systems manage, command, and regulate the behavior of other systems. They are broadly classified into open-loop and closed-loop types, used in automation and engineering applications.

Control

Convolution is a mathematical operation that combines two signals to produce a third signal, representing how the shape of one is modified by the other.

Stability of control systems

Stability in control systems refers to the ability of a system to return to its equilibrium state after a disturbance.

Phase Margin and Gain margin

Phase margin and gain margin are measures of the stability of a control system, indicating how close the system is to oscillation.

Proportional Integral Derivative (PID) control

A Proportional-Integral-Derivative (PID) Controller is a control system mechanism that continuously calculates error values and applies corrective action using proportional, integral, and derivative terms.

Z-transform

Control

The Z-transform is a mathematical tool that converts discrete-time signals from the time domain into the complex frequency domain.

Lead and Lag compensator

Lead and lag compensators are control system components used to improve system stability, transient response, and steady-state accuracy by adjusting phase and gain.

Barkhausen Criterion

The Barkhausen criteria define the conditions for sustained oscillations in a feedback circuit-the loop gain must be unity and the phase shift must be zero or a multiple of 360.

Bode plot

Control

A Bode plot is a graph of a system’s frequency response, showing magnitude and phase versus frequency on logarithmic scales, commonly used in control systems and electronics.

Laplace transform

The Laplace transform is a mathematical technique that converts time-domain functions into the frequency domain for easier system analysis.