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23-Chem-A6 Process Dynamics and Control · May 2013

Question 4 of 8: Nyquist Stability of an Open-Loop-Unstable Process

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

Notes on this paper

National Exams / EGBC — May 2013 — 04-Chem-A6 Process Dynamics & Control. Three-hour open-book examination; any non-communicating calculator is permitted. Eight problems are printed and any five constitute a complete paper (each worth 20%); all eight are solved below for completeness. Most parts are quantitative (modelling, transfer functions, step/pulse responses, Routh, Nyquist/Bode and IMC design); qualitative sketches are drawn as real figures where the paper asks for them.

Reference texts: D. E. Seborg, T. F. Edgar, D. A. Mellichamp & F. J. Doyle III, Process Dynamics and Control (4th ed., Wiley) — Laplace-domain modelling, transfer functions, feedback stability, frequency response and IMC design; G. Stephanopoulos, Chemical Process Control: An Introduction to Theory and Practice (Prentice Hall) — Routh test, Nyquist criterion, Bode stability and dead-time systems; D. R. Coughanowr & S. E. LeBlanc, Process Systems Analysis and Control (3rd ed., McGraw-Hill) — first-order tank dynamics, step/pulse response and block-diagram algebra. Standard control conventions (deviation variables, unity valve/sensor gains unless stated) are used throughout.

Problem 4: Nyquist Stability of an Open-Loop-Unstable Process (20%)

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. $G_p(s)=\dfrac{100}{s-10}$ — an open-loop-unstable first-order process (one pole at $s=+10$, so $P=1$ RHP pole). Proportional controller $G_c=k_c$; open loop $L(s)=k_c G_p=\dfrac{100k_c}{s-10}$.

Find. (a) Nyquist verdict at $k_c=1,\ 0.1$; (b) the stability limit on $k_c$.

Re Im ω:0→∞ (−1, 0) ω=0 (−10) P=1 open-loop RHP pole; 1 CCW encirclement of −1 ⇒ Z=0 (stable)
Problem 4: Nyquist plot of $L=100/(s-10)$ at $k_c=1$ — a circle from $L(0)=-10$ to the origin. The critical point $-1$ lies inside, giving one counter-clockwise encirclement; with $P=1$ open-loop RHP pole, $Z=N+P=-1+1=0$, so the loop is stable. At $k_c=0.1$ the circle shrinks to pass through $-1$ (marginal).

Approach. Apply the Nyquist criterion $Z=N+P$, where $Z$ is the number of closed-loop RHP poles, $P$ the open-loop RHP poles, and $N$ the number of clockwise encirclements of the $-1$ point by $L(j\omega)$; because $P=1$, stability ($Z=0$) requires exactly one counter-clockwise encirclement of $-1$. Cross-check against the closed-loop pole directly.

  1. Shape of the Nyquist plot. $L(j\omega)=\dfrac{100k_c}{j\omega-10}=\dfrac{100k_c(-10-j\omega)}{100+\omega^2}$. The real part is always negative and the locus is a circle through the origin ($\omega\to\infty$) and through $L(0)=-10k_c$ ($\omega=0$), i.e. a circle on the real axis from $-10k_c$ to $0$, traversed counter-clockwise as $\omega:-\infty\to\infty$.
  2. (a) $k_c=1$. The circle runs from $-10$ to $0$; the critical point $-1$ lies inside it, so $L$ makes one counter-clockwise encirclement: $N=-1$. Then $Z=N+P=-1+1=0$ — stable. Direct check: closed-loop pole from $s-10+100k_c=0\Rightarrow s=10-100(1)=\boxed{-90}$ (LHP). ✓
  3. (a) $k_c=0.1$. The circle now runs from $-1$ to $0$, so it passes through $-1$: the locus is exactly on the critical point — marginally stable (a closed-loop pole at the origin). Direct check: $s=10-100(0.1)=\boxed{0}$. ✓
  4. (b) Limiting gain. Encirclement of $-1$ (hence $Z=0$) requires $10k_c>1$, i.e. the circle must extend past $-1$. The boundary is $L(0)=-10k_c=-1$: $$\boxed{k_{c,\lim}=0.1}$$ The system is stable for $k_c>0.1$ and unstable for $k_c<0.1$ — note the reverse sense: an open-loop-unstable process needs enough gain to be stabilised. (Direct: $s=10-100k_c<0\Leftrightarrow k_c>0.1$.)
Gain $k_c$Closed-loop pole $s=10-100k_c$Verdict
$1$$-90$stable ($-1$ encircled once CCW)
$0.1$$0$marginal ($L$ passes through $-1$)
$>0.1$$<0$stable
$<0.1$$>0$unstable