The Nichols plot is a plot used in signal processing and control design, named after American engineer Nathaniel B. Nichols .
Given a transfer function,
G ( s ) = Y ( s ) X ( s )
with the closed-loop transfer function defined as,
M ( s ) = G ( s ) 1 + G ( s )
the Nichols plots displays 20 log 10 ( | G ( s ) | ) versus arg ( G ( s ) ) . Loci of constant 20 log 10 ( | M ( s ) | ) and arg ( M ( s ) ) are overlaid to allow the designer to obtain the closed loop transfer function directly from the open loop transfer function. Thus, the frequency ω is the parameter along the curve. This plot may be compared to the Bode plot in which the two inter-related graphs - 20 log 10 ( | G ( s ) | ) versus log 10 ( ω ) and arg ( G ( s ) ) versus log 10 ( ω ) ) - are plotted.
In feedback control design, the plot is useful for assessing the stability and robustness of a linear system. This application of the Nichols plot is central to the Quantitative feedback theory (QFT) of Horowitz and Sidi, which is a well known method for robust control system design.
In most cases, arg ( G ( s ) ) refers to the phase of the system's response. Although similar to a Nyquist plot, a Nichols plot is plotted in a Cartesian coordinate system while a Nyquist plot is plotted in a polar coordinate system.