The steady-state error due to unit step input to a type-1 system is:
Zero
Understanding the steady-state error is crucial in control systems analysis. The steady-state error ($e_{ss}$) is the difference between the desired output and the actual output as time approaches infinity. It depends on the type of the system and the type of input signal.
For a linear time-invariant system, the steady-state error due to a unit step input is given by the formula:
\(e_{ss} = \frac{A}{1 + K_p}\)
Where:
The position error constant \(K_p\) is defined as:
\(K_p = \lim_{s \to 0} G(s)H(s)\)
Here, \(G(s)H(s)\) is the open-loop transfer function of the system.
A system's type is determined by the number of poles at the origin (\(s=0\)) in its open-loop transfer function \(G(s)H(s)\). A type-1 system has exactly one pole at \(s=0\).
The open-loop transfer function of a type-1 system can generally be written in the form:
\(G(s)H(s) = \frac{K(s+z_1)(s+z_2)...}{s(s+p_1)(s+p_2)...}\)
Where K is a constant, and \(z_i\) and \(p_i\) are the non-zero poles and zeros.
Let's calculate the position error constant \(K_p\) for a type-1 system:
\(K_p = \lim_{s \to 0} G(s)H(s) = \lim_{s \to 0} \frac{K(s+z_1)(s+z_2)...}{s(s+p_1)(s+p_2)...}\)
As \(s\) approaches 0, the term \(s\) in the denominator goes to zero, while the numerator and the other terms in the denominator approach finite non-zero values (assuming none of the \(z_i\) or \(p_i\) are zero).
Therefore, the limit becomes:
\(K_p = \frac{K(0+z_1)(0+z_2)...}{0 \cdot (0+p_1)(0+p_2)...} = \frac{\text{finite non-zero value}}{0}\)
This results in \(K_p\) approaching infinity:
\(K_p = \infty\)
Now, substitute the value of \(K_p\) into the steady-state error formula for a unit step input (\(A=1\)):
\(e_{ss} = \frac{1}{1 + K_p} = \frac{1}{1 + \infty} = \frac{1}{\infty}\)
As a quantity divided by infinity approaches zero, the steady-state error is:
\(e_{ss} = 0\)
Thus, the steady-state error due to unit step input to a type-1 system is zero.
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