Question 6 of 8: Lead/Lag Controller Design by Pole Placement
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. 98-Phys-B5 Systems & Control, National Examination
May 2016 — a three-hour closed-book examination with one double-sided handwritten
formula/notes sheet permitted and an approved calculator. Questions 1 and 2 are compulsory;
candidates choose three of the remaining six (3–8). Every question is nonetheless
answered in full below so the paper remains a complete study resource. All eight questions
carry equal value (20 marks each).
Reference texts. N. S. Nise, Control Systems Engineering, 7th ed.
(transient-response specifications, root locus, Routh–Hurwitz, frequency-response and
lead/lag design, state-space representation, steady-state errors); K. Ogata, Modern
Control Engineering, 5th ed. (root-locus and frequency-response compensator design,
controllability/observability, Nyquist stability).
Question 6: Lead/Lag Controller Design by Pole Placement (20 marks)
Given. $G(s)=1/(s+0.5)$ (Type 0, first order), unity feedback, series
compensator $G_c(s)=(a_1s+a_0)/(b_1s+1)$.
Find. $G_{cl}(s)$ and $Q(s)$; the target second-order model $G_m(s)$; the
compensator parameters and its Lead/Lag classification; and a comparison of actual vs. model
response.
Approach. Because both $G(s)$ and $G_c(s)$ are first order, the closed loop
here is EXACTLY second order (unlike Questions 4–5): match $Q(s)$'s coefficients directly
to $s^2+2\zeta\omega_ns+\omega_n^2$ after using the steady-state error spec to fix $a_0$.
Part 1) — closed-loop TF and characteristic equation.
$$G_{cl}(s)=\frac{G_c G}{1+G_cG}=\frac{a_1s+a_0}{(b_1s+1)(s+0.5)+(a_1s+a_0)},\qquad
\boxed{Q(s)=b_1s^2+(0.5b_1+1+a_1)s+(0.5+a_0)=0.}$$
Part 2) — target model $G_m(s)$. $PO=10\%\Rightarrow\zeta=\boxed{0.591}$
(as in Q5); $T_{settle(\pm2\%)}=4/(\zeta\omega_n)=2$ s gives
$\omega_n=4/(0.591\times2)=\boxed{3.38\ \text{rad/s}}$. For a Type 0 loop,
$e_{ss(step)}=1-K_{dc}$, so $e_{ss}=5\%\Rightarrow\boxed{K_{dc}=0.95}$. The target model, in the
same $K_{dc}\omega_n^2/(s^2+2\zeta\omega_ns+\omega_n^2)$ form as the formula sheet, is
$$\boxed{G_m(s)=\frac{0.95(3.38)^2}{s^2+4.00s+11.45}}.$$
Part 3) — compensator parameters and Lead/Lag classification.
Matching $G_{cl}(0)=a_0/(0.5+a_0)=K_{dc}=0.95$ gives $\boxed{a_0=9.5}$ directly (this also
reproduces the required open-loop position constant $K_{pos}=2a_0=19$, i.e. $e_{ss}=1/(1+19)=5\%$,
independently). Matching the $s^0$ coefficient, $0.5+a_0=b_1\omega_n^2$, gives
$\boxed{b_1=10/11.45=0.874}$; matching the $s^1$ coefficient,
$0.5b_1+1+a_1=2\zeta\omega_nb_1$, gives $\boxed{a_1=2.06}$. The compensator's zero sits at
$s=-a_0/a_1=-4.62$ and its pole at $s=-1/b_1=-1.14$: because the ZERO is farther from the
origin than the pole ($4.62>1.14$), this is a $\boxed{\text{LAG compensator}}$ (a Lead network
would need the pole farther out than the zero).
Part 4) — actual response vs. the model. Because $G(s)$ and
$G_c(s)$ are BOTH first order, the closed loop's denominator is exactly the second-order
polynomial designed in Part 3 — no extra (non-dominant) pole appears, unlike Questions
4–5. However, the closed-loop NUMERATOR is $a_1s+a_0$, not the constant $K_{dc}\omega_n^2$
of the idealized model $G_m(s)$: the actual system carries a real LHP zero at $s=-4.62$ that
the pure second-order model does not have. A left-half-plane zero of this kind speeds up the
rise time and pushes the overshoot somewhat ABOVE the nominal $10\%$ predicted by $G_m(s)$,
even though both share identical poles ($\zeta=0.591$, $\omega_n=3.38$ rad/s).
Final results — Question 6
Quantity
Value
$Q(s)$
$b_1s^2+(0.5b_1{+}1{+}a_1)s+(0.5{+}a_0)$
$\zeta$, $\omega_n$, $K_{dc}$
$0.591$, $3.38$ rad/s, $0.95$
$a_0$
$9.5$
$b_1$
$0.874$
$a_1$
$2.06$
Controller type
LAG (zero $-4.62$ farther out than pole $-1.14$)
Actual vs. model
same poles; actual has an extra LHP zero → faster rise, overshoot somewhat above 10%