Control¶
Feedback systems use a portion of the output signal to influence the input, improving stability, accuracy, and performance of electrical and control systems.
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.
State space analysis models dynamic systems using a set of first-order differential equations representing system states, inputs, and outputs.
Root locus is a graphical method used to analyze how the roots of a feedback system’s characteristic equation change with varying system gain.
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.
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.
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.
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 are measures of the stability of a control system, indicating how close the system is to oscillation.
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.
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.
