Asked by w22
Prove that a Type-1 system has no steady state error for step input while the steady state
error for ramp input decreases for increase of Velocity Error Constant
error for ramp input decreases for increase of Velocity Error Constant
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A Type-1 system is a system with one integrator in its forward path. The transfer function of such a system can be represented as:
G(s) = K_p * (K_i / s),
where K_p and K_i are the proportional and integral gain constants, respectively.
Let's consider a step input R(s) = A / s, where A is the magnitude of the step.
The steady-state error, E(s), is given by:
E(s) = R(s) - G(s) * R(s) / (1 + G(s)).
For a Type-1 system with a step input:
E(s) = (A / s) - (K_p * K_i / s^2) * (A / s) / (1 + (K_p * K_i / s^2) * (A / s)).
After multiplying the denominator with s^2 and rearranging the terms, we obtain:
E(s) = A * s^2 / (s^2 + K_p * K_i * A).
Taking the limit as s approaches 0 (steady-state error):
lim (s->0) E(s) = lim (s->0) A * s^2 / (s^2 + K_p * K_i * A).
Since the numerator is a quadratic function of s and the denominator has a linear term and a quadratic term, the limit is 0:
E(0) = 0.
Hence, a Type-1 system has no steady-state error for a step input.
Now let's consider a ramp input R(s) = B / s^2, where B is the slope of the ramp. The error function for a Type-1 system with a ramp input is given by:
E(s) = (B / s^2) - (K_p * K_i / s^2) * (B / s^2) / (1 + (K_p * K_i / s^2) * (B / s^2)).
After multiplying the denominator with s^4 and rearranging the terms, we obtain:
E(s) = B * s^2 / (s^2 + K_p * K_i * B).
Taking the limit as s approaches 0 (steady-state error):
lim (s->0) E(s) = lim (s->0) B * s^2 / (s^2 + K_p * K_i * B).
Again, since the numerator is a quadratic function of s and the denominator has a linear term and a quadratic term, the limit can be calculated using L'Hopital's rule:
lim (s->0) (d(B * s^2)/ds) / (d(s^2 + K_p * K_i * B)/ds)
= lim (s->0) (2 * B * s) / (2 * s)
= B.
So the steady-state error for a ramp input is given by the slope of the ramp, B.
The Velocity Error Constant (K_v) is found by taking the limit as s approaches 0 of sG(s), which in this case is:
K_v = lim (s->0) s * (K_p * (K_i / s))
= K_p * K_i.
According to the steady-state error formula for ramp input, E(s) = B. If we replace B with the slope of the sum of multiple ramp inputs, the steady-state error will still be B. Since E(s) = B does not depend on the value of K_v (K_p * K_i), the steady-state error for a ramp input does not decrease with an increase of the Velocity Error Constant K_v.
However, it is essential to note that an increase in K_v results in a reduction of the steady-state error concerning time. In other words, the Type-1 system will settle to the steady-state error value more quickly when the Velocity Error Constant is increased.
G(s) = K_p * (K_i / s),
where K_p and K_i are the proportional and integral gain constants, respectively.
Let's consider a step input R(s) = A / s, where A is the magnitude of the step.
The steady-state error, E(s), is given by:
E(s) = R(s) - G(s) * R(s) / (1 + G(s)).
For a Type-1 system with a step input:
E(s) = (A / s) - (K_p * K_i / s^2) * (A / s) / (1 + (K_p * K_i / s^2) * (A / s)).
After multiplying the denominator with s^2 and rearranging the terms, we obtain:
E(s) = A * s^2 / (s^2 + K_p * K_i * A).
Taking the limit as s approaches 0 (steady-state error):
lim (s->0) E(s) = lim (s->0) A * s^2 / (s^2 + K_p * K_i * A).
Since the numerator is a quadratic function of s and the denominator has a linear term and a quadratic term, the limit is 0:
E(0) = 0.
Hence, a Type-1 system has no steady-state error for a step input.
Now let's consider a ramp input R(s) = B / s^2, where B is the slope of the ramp. The error function for a Type-1 system with a ramp input is given by:
E(s) = (B / s^2) - (K_p * K_i / s^2) * (B / s^2) / (1 + (K_p * K_i / s^2) * (B / s^2)).
After multiplying the denominator with s^4 and rearranging the terms, we obtain:
E(s) = B * s^2 / (s^2 + K_p * K_i * B).
Taking the limit as s approaches 0 (steady-state error):
lim (s->0) E(s) = lim (s->0) B * s^2 / (s^2 + K_p * K_i * B).
Again, since the numerator is a quadratic function of s and the denominator has a linear term and a quadratic term, the limit can be calculated using L'Hopital's rule:
lim (s->0) (d(B * s^2)/ds) / (d(s^2 + K_p * K_i * B)/ds)
= lim (s->0) (2 * B * s) / (2 * s)
= B.
So the steady-state error for a ramp input is given by the slope of the ramp, B.
The Velocity Error Constant (K_v) is found by taking the limit as s approaches 0 of sG(s), which in this case is:
K_v = lim (s->0) s * (K_p * (K_i / s))
= K_p * K_i.
According to the steady-state error formula for ramp input, E(s) = B. If we replace B with the slope of the sum of multiple ramp inputs, the steady-state error will still be B. Since E(s) = B does not depend on the value of K_v (K_p * K_i), the steady-state error for a ramp input does not decrease with an increase of the Velocity Error Constant K_v.
However, it is essential to note that an increase in K_v results in a reduction of the steady-state error concerning time. In other words, the Type-1 system will settle to the steady-state error value more quickly when the Velocity Error Constant is increased.
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