23-Chem-A6 Process Dynamics and Control · May 2015
Question 1 of 8: Linearising a Radiative (Calrod) Heater
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Exams / EGBC — May 2015 — 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 (dynamic modelling, transfer functions, step/pulse/ramp responses, Routh and Nyquist stability, 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, linearisation, 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 and dead-time systems; D. R. Coughanowr & S. E. LeBlanc, Process Systems Analysis and Control (3rd ed., McGraw-Hill) — first-order thermal/level dynamics, step/ramp/pulse response and block-diagram algebra. Standard control conventions (deviation variables; unity valve/sensor gains unless stated) are used throughout.
Problem 1: Linearising a Radiative (Calrod) Heater (20%)
Find. (a) $\dfrac{\delta T}{\delta Q}$ and $\dfrac{\delta T}{\delta T_a}$ in the form $\dfrac{K}{\tau s+1}$; (b) the controller sign for a stable loop.
Problem 1: electrical power $Q$ heats a rod of capacitance $mC$; the rod loses heat to the surroundings by radiation, $\dot q_{rad}=k(T^4-T_a^4)$. The strong non-linearity ($T^4$) is linearised about the operating point $(T_s,T_{as})$.
Approach. Expand the non-linear radiation term in a first-order Taylor series about the steady operating point, cast the result as a first-order lag in deviation variables, then read off gain and time constant for each input.
Steady state and deviation variables. Define deviations $\delta T=T-T_s$, $\delta Q=Q-Q_s$, $\delta T_a=T_a-T_{as}$. At steady state $Q_s=k\!\left(T_s^4-T_{as}^4\right)$, so subtracting removes the constant terms and leaves an equation purely in deviations.
Linearise the $T^4$ term. Taylor-expand each quartic about its steady value: $T^4\approx T_s^4+4T_s^3\,\delta T$ and $T_a^4\approx T_{as}^4+4T_{as}^3\,\delta T_a$. Substituting into the balance gives $$mC\,\frac{d(\delta T)}{dt}=\delta Q-4kT_s^3\,\delta T+4kT_{as}^3\,\delta T_a.$$
Standard first-order form. Collect the $\delta T$ terms and divide by the radiative conductance $4kT_s^3$: $$\boxed{\tau\,\frac{d(\delta T)}{dt}+\delta T=K_Q\,\delta Q+K_a\,\delta T_a},\qquad \tau=\frac{mC}{4kT_s^{3}}.$$ Both the manipulated input and the disturbance pass through the same lag $\tau$.
Transfer function to $\delta Q$. Laplace-transforming with $\delta T_a=0$: $$\boxed{\frac{\delta T(s)}{\delta Q(s)}=\frac{K_Q}{\tau s+1}},\qquad K_Q=\frac{1}{4kT_s^{3}}\ \left[\mathrm{K/W}\right].$$ The gain is the inverse radiative conductance — a hotter set point ($T_s\!\uparrow$) makes the heater both faster ($\tau\!\downarrow$) and less sensitive ($K_Q\!\downarrow$) because radiative loss stiffens as $T_s^3$.
Transfer function to $\delta T_a$. With $\delta Q=0$: $$\boxed{\frac{\delta T(s)}{\delta T_a(s)}=\frac{K_a}{\tau s+1}},\qquad K_a=\frac{4kT_{as}^{3}}{4kT_s^{3}}=\left(\frac{T_{as}}{T_s}\right)^{3}.$$ The disturbance gain is the dimensionless cube of the temperature ratio — always $<1$ for a heater run above ambient, so ambient swings are strongly attenuated.
(b) Controller sign. With proportional control $\delta Q=K_c\,\delta e=K_c(\delta T_{sp}-\delta T)$, the closed-loop characteristic equation is $\tau s+1+K_cK_Q=0$, giving the pole $$s=-\frac{1+K_cK_Q}{\tau}.$$ Since $K_Q>0$ and $\tau>0$, choosing $\boxed{K_c>0\ \text{(positive / direct-acting on error)}}$ keeps $1+K_cK_Q>0$, so the pole stays in the left half-plane for any positive gain — the loop is unconditionally stable. Physically: the process gain is positive (more $Q\Rightarrow$ higher $T$), so negative feedback requires a positive controller gain; a negative $K_c$ would only threaten stability once $K_c<-1/K_Q$.
Result
Expression
Time constant
$\tau=mC/(4kT_s^3)$
$\delta T/\delta Q$
$K_Q/(\tau s+1)$, $K_Q=1/(4kT_s^3)$
$\delta T/\delta T_a$
$K_a/(\tau s+1)$, $K_a=(T_{as}/T_s)^3$
(b) Stabilising controller sign
$K_c>0$ (positive)
Check — sanity check of the gains
With illustrative numbers $mC=25\ \mathrm{J/K}$, $k=2\times10^{-8}\ \mathrm{W/K^4}$, $T_s=800\ \mathrm K$, $T_{as}=300\ \mathrm K$: $4kT_s^3=0.0410\ \mathrm{W/K}$, so $\tau=610\ \mathrm s$, $K_Q=24.4\ \mathrm{K/W}$, $K_a=(300/800)^3=0.0527$. The pole $-(1+K_cK_Q)/\tau$ is negative for all $K_c>0$. (Exact symbolic forms are what the exam requires; numbers only illustrate the signs.)