6.3 Application to Classic Control 367for some valuesB 1 andB 2. Given that the real parts ofs 1 ands 2 are negative, their corresponding
inverse Laplace terms will have a zero steady-state response. Thus,lim
t→∞
e(t)→ 0This can be found also with the final value theorem,e( 0 )issE(s)|s= 0 = 0So for anyK>0,y(t)→x(t)in steady state.
Suppose then thatX(s)= 1 /s^2 or thatx(t)=tu(t), a ramp signal. Intuitively, this is a much harder
situation to control, as the output needs to be continuously growing to try to follow the input. In
this case, the Laplace transform of the error signal isE(s)=1
s^2 ( 1 +G(s)K)=
s+ 1
s(s(s+ 1 )+K)In this case, even if we chooseKto make the roots ofs(s+ 1 )+Kbe in the left-hands-plane, we
have a pole ats=0. Thus, in the steady state, the partial fraction expansion terms corresponding
to poless 1 ands 2 will give a zero steady-state response, but the poles=0 will give a constant
steady-state responseAwhere
A=E(s)s|s= 0 = 1 /K
In the case of a ramp as input, it is not possible to make the output follow exactly the input
command, although by choosing a very large gainKwe can get them to be very close. nChoosing the values of the gainKof the open-loop transfer function
G(s)Hc(s)=KN(s)
D(s)to be such that the roots of
1 +G(s)Hc(s)= 0are in the open left-hands-plane, is theroot-locusmethod, which is of great interest in control theory.
nExample 6.2: A cruise control
Suppose we are interested in controlling the speed of a car or in obtaining a cruise control. How to
choose the appropriate controller is not clear. We consider initially a proportional plus integral (PI)
controllerHc(s)= 1 + 1 /sand will ask you to consider the proportional controller as an exercise.
See Figure 6.7.Suppose we want to keep the speed of the car atV 0 miles/hour fort≥0 (i.e.,x(t)=V 0 u(t)), and
that the model for a car in motion is a system with transfer functionHp(s)=β/(s+α)