Question 7 of 8: PD Controller Design by Pole Placement — Rate Feedback versus Derivative Control
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Exams, 16-Elec-A2 Systems and Control, May 2018 — 3 hours, closed book (approved Casio or Sharp calculator plus one double-sided handwritten 8.5 × 11″ formula sheet). A short Laplace-transform table is printed on page 2, and the $\zeta$–overshoot, $\zeta$–resonant-peak and phase-margin design charts plus the second-order model, controllability/observability and state-space transfer-function definitions are on page 3. Questions 1 and 2 are compulsory; five questions constitute a complete paper, so a candidate chooses three of Q3–Q8. Each question carries 20 marks, for 100 in total. All eight questions are worked below so the set is a complete study resource.
Reference texts. N. S. Nise, Control Systems Engineering (7th ed., Wiley) — block-diagram and signal-flow reduction with Mason’s rule (Ch. 5), steady-state error and the static error constants (Ch. 7), Routh–Hurwitz (Ch. 6), root locus (Ch. 8), cascade compensator design (Ch. 9), frequency response and gain/phase margins (Ch. 10), frequency-domain lead design (Ch. 11), state space and controllability/observability (Ch. 12); K. Ogata, Modern Control Engineering (5th ed., Prentice Hall) — second-order correlations, dominant-poles modelling and pole placement by state feedback. Every block diagram, root locus, pole–zero map, Bode plot, closed-loop magnitude curve and step response below is redrawn as an inline figure.
Reading the supplied design charts. Page 3 gives $PO = 100\,e^{-\zeta\pi/\sqrt{1-\zeta^{2}}}$ for percent overshoot, $M_r/K_{dc} = 1/\left(2\zeta\sqrt{1-\zeta^{2}}\right)$ for the closed-loop resonant peak, and the phase-margin correlation $\Phi_m \approx 100\zeta$ (equivalently $\zeta \approx 0.01\,\Phi_m$). Those three relations, together with $T_{settle(\pm 2\%)} \approx 4/(\zeta\omega_n)$ and $T_{rise(0-100\%)} = (\pi - \cos^{-1}\zeta)/\omega_d$, carry most of the numerical work in Questions 2, 5, 7 and 8.
Question 7: PD Controller Design by Pole Placement — Rate Feedback versus Derivative Control (20 marks)
Given. Process $G_p(s) = 30/(s^{2}+10s+5)$ in two configurations: Figure Q7.1 puts the gain $K_p$ in the forward path and returns $(1 + T_ds)Y(s)$ around it (proportional plus rate feedback), while Figure Q7.2 puts the whole controller $K_p(T_ds+1)$ in the forward path with unity feedback (proportional plus derivative). Specifications: $PO = 5\%$ and $e_{step(\%)} = 5\%$.
Find. $K_p$ and $T_d$ meeting both specifications; $G_{cl1}(s)$ and its settling time; $G_{cl2}(s)$; and a comparison of the two with respect to overshoot, steady-state error, rise time and settling time.
[Figure not reproduced: Figure Q7.1 (redrawn) — proportional gain in the forward path with a rate feedback branch $T_ds$ summed with the direct unity branch, so the signal returned to the input summer is $(1+T_ds)Y(s)$. See the official exam paper.]
[Figure not reproduced: Figure Q7.2 (redrawn) — the same process under a cascade proportional-plus-derivative controller $K_p(T_ds+1)$ with plain unity feedback. The derivative now acts on the error rather than on the output. See the official exam paper.]
Approach. Derive each closed-loop transfer function, note that both share a denominator, use the step-error specification to fix $K_p$ (which fixes $\omega_n$) and the overshoot specification to fix $\zeta$ (which fixes $T_d$), then compare the two numerators.
Closed-loop transfer function for rate feedback. In Figure Q7.1 the forward path is $K_pG_p$ and the feedback is $H(s) = 1 + T_ds$, so
$$G_{cl1}(s) = \frac{K_pG_p}{1+K_pG_p(1+T_ds)} = \frac{30K_p}{s^{2}+10s+5+30K_p(1+T_ds)}$$
$$G_{cl1}(s) = \frac{30K_p}{s^{2} + (10 + 30K_pT_d)s + (5 + 30K_p)}$$
This is a pure second-order system — the rate branch contributes only to the damping term, and there is no numerator zero.
Fix $K_p$ from the steady-state error. The DC gain is $G_{cl1}(0) = 30K_p/(5+30K_p)$, so the step error is
$$e_{step} = 1 - G_{cl1}(0) = \frac{5}{5+30K_p} = 0.05 \;\Longrightarrow\; 5 + 30K_p = 100 \;\Longrightarrow\; \boxed{\;K_p = \frac{95}{30} = 3.1667\;}$$
Because $\omega_n^{2} = 5 + 30K_p$, this immediately gives
$$\omega_n = \sqrt{100} = 10.0\ \text{rad/s}$$
a convenient round figure that confirms the intended design.
Fix $T_d$ from the overshoot. Inverting the overshoot correlation for $PO = 5\%$,
$$\zeta = \frac{-\ln(0.05)}{\sqrt{\pi^{2}+\ln^{2}(0.05)}} = \frac{2.9957}{4.3410} = 0.6901$$
Matching the damping coefficient $2\zeta\omega_n = 10 + 30K_pT_d$:
$$2(0.6901)(10) = 13.802 = 10 + 95\,T_d \;\Longrightarrow\; \boxed{\;T_d = \frac{3.802}{95} = 0.04002\ \text{s}\;}$$
Substitute and estimate the settling time. With the two settings in place,
$$\boxed{\;G_{cl1}(s) = \frac{95}{s^{2} + 13.802\,s + 100}\;}$$
and, since $\zeta\omega_n = 6.901$,
$$T_{settle(\pm2\%)} = \frac{4}{\zeta\omega_n} = \frac{4}{6.901} = \boxed{\;0.580\ \text{s}\;}$$
A direct simulation of this transfer function returns an overshoot of 5.00 % and a final value of 0.95, confirming both specifications exactly.
Closed-loop transfer function under PD control. In Figure Q7.2 the controller multiplies the error, so it appears in the numerator as well:
$$G_{cl2}(s) = \frac{K_p(T_ds+1)G_p}{1+K_p(T_ds+1)G_p} = \frac{30K_p(T_ds+1)}{s^{2}+10s+5+30K_p(T_ds+1)}$$
Substituting the same $K_p = 3.1667$ and $T_d = 0.04002$:
$$\boxed{\;G_{cl2}(s) = \frac{3.802\,s + 95}{s^{2} + 13.802\,s + 100}\;}$$
Compare the two. The denominators are identical, so both loops have the same poles, the same $\omega_n = 10$ rad/s and the same $\zeta = 0.690$. The single difference is that $G_{cl2}$ carries a numerator zero at
$$s = -\frac{1}{T_d} = -24.99$$
and both have the same DC gain $95/100 = 0.95$. The zero sits $24.99/6.901 = 3.6$ times further left than the pole real part, so its influence is real but moderate.
Effect on each specification. A left-half-plane zero adds a derivative term $T_d\,\dot{y}$ to the response, lifting the early part of the transient:
Steady-state error — unchanged. Both DC gains are 0.95, so $e_{step} = 5\%$ in each case. A zero cannot change the final value.
Percent overshoot — increases. Simulation gives 5.00 % for $G_{cl1}$ against 5.60 % for $G_{cl2}$. The rise is modest precisely because the zero is 3.6 times beyond the pole real part; a nearer zero would inflate it sharply.
Rise time — decreases. Simulation gives 0.322 s against 0.270 s, a 16 % speed-up: the derivative kick makes the PD loop reach its final value sooner.
Settling time — essentially unchanged. Settling is governed by the envelope $e^{-\zeta\omega_n t}$, which depends only on the poles, so both remain near 0.58 s; the slightly larger overshoot of $G_{cl2}$ can push the 2 % crossing marginally later.
The engineering summary: rate feedback and PD control place identical poles, but PD additionally differentiates the reference. Rate feedback is therefore preferred when a clean, low-overshoot step response matters (and it avoids differentiating a noisy or stepped command), while PD gives a faster rise at the cost of extra overshoot.
Unit step responses of the two designs. Identical poles give the same settling envelope and the same 0.95 final value, but the zero at $-24.99$ in $G_{cl2}$ raises the overshoot from 5.00 % to 5.60 % while shortening the rise time from 0.322 s to 0.270 s.