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22-Elec-A2 Systems and Control · Undated paper

Question 6 of 8: Root Locus Analysis and Gain Selection, Second Order Model (20 marks)

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

Paper format: National Exams, 16-Elec-A2 Systems & Control, 3 hours, CLOSED BOOK — an approved Casio or Sharp calculator plus one double-sided handwritten 8.5 × 11″ formula sheet are permitted. Eight questions of 20 marks each; Questions 1 and 2 are compulsory and the candidate chooses three of the remaining six, so five questions (100 marks) constitute a complete paper. All eight questions are solved below, because this set is a study resource rather than an exam script.

Reference texts for this subject: Nise, Control Systems Engineering, 8th ed.; Ogata, Modern Control Engineering, 5th ed.; Dorf & Bishop, Modern Control Systems, 13th ed.; Franklin, Powell & Emami-Naeini, Feedback Control of Dynamic Systems, 8th ed.. A short Laplace transform table and the standard second-order design charts (percent overshoot, resonant peak and phase margin versus damping ratio) are printed on pages 2–3 of the examination paper.

Figure note (read before checking any number). Figures Q2.1 and Q5.1 — are printed in landscape (rotated 90°). Read straight off the rotated image, both Bode diagrams appear to be Type-1 or Type-2 plots; read the right way up they are the ordinary responses of the transfer functions the questions actually supply. Every figure below has been redrawn from the correctly oriented page and cross-checked against the supplied transfer function at DC and at high frequency.

Question 6: Root Locus Analysis and Gain Selection, Second Order Model (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. A unity-feedback loop stabilised by a proportional controller $K_p$, with process

QuantitySymbolValue
Process$G(s)$$\dfrac{(s+3)(s+6)}{s^2(s+2)}$
Open-loop poles$p_i$$0,\ 0,\ -2$
Open-loop zeros$z_i$$-3,\ -6$
Target overshoot$PO$$\approx5\%$

Find. (1) the complete root locus with all relevant coordinates; (2) $K_{op}$ for $PO\approx5\%$ plus estimates of $T_{s(\pm5\%)}$, $T_{r(0-100\%)}$ and $e_{ss(step\%)}$; (3) comment on model-versus-actual response.

R(s)+-KpG(s) = (s+3)(s+6)/(s^2(s+2))Y(s)
Figure S6.1 - Figure Q6.1: proportional control of the Question 6 process.

Approach. Build the locus from the standard rules, test for an imaginary-axis crossing with the Routh array, then locate the gain at which the dominant pair reaches the required damping ratio.

  1. Count branches and asymptotes. With $n=3$ poles and $m=2$ zeros there is $n-m=1$ asymptote, at $180^\circ$, and the centroid is$$\sigma_a=\frac{(0+0-2)-(-3-6)}{1}=+7,$$again a degenerate anchor for the single real asymptote.
  2. Real-axis segments. Counting real poles and zeros to the right of a test point: on $(-2,0)$ there are two (the double pole at the origin) — even, so no locus; on $(-3,-2)$ there are three — locus; on $(-6,-3)$ there are four — no locus; and for $s\lt-6$ there are five — locus. Hence the real-axis locus is$$[-3,\,-2]\ \cup\ (-\infty,\,-6].$$
  3. Departure from the double pole at the origin. Two branches leave $s=0$ at $\pm90^\circ$ (a double pole splits perpendicular to the real axis), curve into the left half-plane and eventually return to the real axis far out.
  4. Break points. With $K=-\dfrac{s^2(s+2)}{(s+3)(s+6)}$, solving $dK/ds=0$ gives real roots at $s=0$ ($K=0$), $s=-1.547$ and $s=-3.630$ (both with $K\lt0$, so they are not on the positive-gain locus), and$$\boxed{s=-12.82\ \text{with}\ K=26.55}$$a break-in point where the two complex branches rejoin the real axis; one then moves right to the zero at $-6$ and the other left to $-\infty$.
  5. Test for an imaginary-axis crossing. The characteristic equation is $s^2(s+2)+K(s+3)(s+6)=0$, i.e. $s^3+(2+K)s^2+9Ks+18K=0$. The Routh $s^1$ element is$$c_1=\frac{(2+K)(9K)-18K}{2+K}=\frac{K(18+9K-18)}{2+K}=\frac{9K^2}{2+K},$$which is positive for every $K\gt0$. The first column never changes sign, so$$\boxed{\text{there is no }K_{crit}\text{ and no }\omega_{osc}\text{: the loop is stable for all }K_p\gt0.}$$This is why the question says “if applicable”. Geometrically the same conclusion follows from the asymptote structure: with only one asymptote, at $180^\circ$, no branch has anywhere to go but leftward along the real axis.
  6. Find $K_{op}$ for $PO\approx5\%$ (part 2). Inverting the overshoot relation, $PO=5\%$ needs$$\zeta=\frac{-\ln(0.05)}{\sqrt{\pi^2+\ln^2(0.05)}}=0.6901.$$Sweeping $K$ and tracking the complex pair, the $\zeta=0.6901$ ray meets the locus at$$\boxed{K_{op}=13.70}$$where the closed-loop poles are $s=-6.427\pm j6.740$ and $s=-2.843$, so $\omega_n=|{-6.427+j6.740}|=9.313$ rad/s.
  7. Estimate the specifications from the dominant pair.$$T_{s(\pm5\%)}=\frac{3}{\zeta\omega_n}=\frac{3}{6.427}=0.467\ \text{s},\qquad T_{r(0-100\%)}=\frac{\pi-\arccos\zeta}{\omega_n\sqrt{1-\zeta^2}}=0.346\ \text{s}.$$For the error, the open loop has a double pole at the origin, so the system is Type 2: the position constant $K_{pos}=\lim_{s\to0}K_pG(s)$ is infinite and$$\boxed{e_{ss(step\%)}=0\%}$$A Type-2 loop also tracks a ramp with zero error; only a parabolic input leaves a finite offset.
-18-14-10-6-22-10-50510Kop = 13.70break-in, K=26.55Real axis (1/s)
Figure S6.2 - Root locus of Kp(s+3)(s+6)/(s^2(s+2)). The locus never reaches the jw axis: the loop is stable for every Kp > 0.
ResultValue
Asymptote1 branch at $180^\circ$, centroid $\sigma_a=+7$
Real-axis locus$[-3,-2]\cup(-\infty,-6]$
Departure angles at $s=0$ (double)$\pm90^\circ$
Break-in point$s=-12.82$ at $K=26.55$
Imaginary-axis crossingnone — stable for all $K_p\gt0$
Design gain$K_{op}=13.70$
Closed-loop poles$-6.427\pm j6.740$, $-2.843$
Model $T_{s(\pm5\%)}$ / $T_{r}$0.467 s / 0.346 s
Steady-state step error0% (Type 2)

Part 3 — expected versus actual response. The differences here are unusually large and are worth quantifying. Simulating the true closed loop at $K_{op}=13.70$ gives $PO=22.5\%$, $T_{s(\pm5\%)}=0.447$ s and $T_{r(0-100\%)}=0.113$ s, against the model predictions of $5\%$, $0.467$ s and $0.346$ s. Two effects explain the gap. First, dominance is genuinely marginal: the third closed-loop pole sits at $-2.843$, which is closer to the imaginary axis than the pair’s real part of $-6.427$, so the usual five-times separation test fails outright. What rescues the second-order picture is that the open-loop zero at $-3$ is retained in the closed loop and very nearly cancels that pole (separation only $0.157$), leaving a near-dipole whose residue is small. Any claim of dominance here must cite that near-cancellation explicitly. Second, and dominating the overshoot error, the closed-loop transfer function keeps both open-loop zeros, at $-3$ and $-6$. The zero at $-6$ is close to the pair ($\omega_n=9.3$) and differentiates the response, adding a large early transient: this is what lifts the overshoot from $5\%$ to $22.5\%$ and cuts the rise time to a third of the predicted value. The settling time, which depends mainly on the envelope decay $e^{-\zeta\omega_n t}$ rather than on peak shape, is the one estimate that survives well (0.447 s versus 0.467 s predicted). The practical lesson is that the standard $\zeta$-from-$PO$ design rule assumes a pole-only second-order model, and on a plant whose zeros migrate into the closed loop it will systematically under-predict overshoot; the gain should be trimmed downward, or the specification checked by simulation, before committing to $K_{op}$.