Model description:
A schematic of the CSTR plant is shown in the attached image. The process dynamics are described by
$$\begin{align*} \dot{C}_{a} &=\frac{q}{V}(C_{a0}-c_{a})-a_{0}C_{a}e^{-\frac{E}{RT_{a}}} \\ \dot{T}_{a} &=\frac{q}{V}(T_{f}-T_{a})+a_{1}C_{a}e^{-\frac{E}{RT_{a}}}+a_{3}q_{c}\left(1-e^{\frac{a_{2}}{q_{c}}}\right)(T_{cf}-T_{a}), \end{align*}$$
where the variables $C_a$ and $T_a$ are the concentration and temperature of the tank, respectively; the coolant flow rate $q_c$ is the control input and the parameters of the plant are defined in the attached table. Within the tank reactor, two chemicals are mixed and react to produce a product compound $A$ at a concentration $C_a(t)$ with the temperature of the mixture being $T(t)$. The reaction is both irreversible and exothermic.
In the paper, authors assumed that plant parameters $q, C_{a0}, T_f$ and $V$ are at the nominal values given in the attached table. The activation energy $E/R = 1 \times 10^4K$ is assumed to be known. The state variables the input and the output are defined as $x=[x_1,x_2]^{\mathrm T}=[C_a,T_a]^{\mathrm T},u=q_c,y=C_a$. Using this notation, the CSTR plant can be re-expressed as
$$\begin{align*} \dot{x}_{1} &=1-x_{1}-a_{0}x_{1}e^{-\frac{10^4}{{\rm a}_2}} \\ \dot{x}_{2} &=T_{f}-x_{2}+a_{1}x_{1}e^{-\frac{10^4}{{\rm a}_2}}+a_{3}u\left(1-e^{-\frac{a_2}{u}}\right)(T_{cf}-x_{2}) \\ y &= x_{1}, \end{align*}$$
where the unknown constant parameters are $a_0, a_1, a_2$ and $a_3$.
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Publication details:
Title | Adaptive nonlinear control of continuously stirred tank reactor systems |
Publication Type | Conference Paper |
Year of Publication | 2001 |
Authors | Zhang, T., and Guay M. |
Conference Name | Proceedings of the 2001 American Control Conference, 2001. |
Date Published | 06/2001 |
Publisher | IEEE |
Conference Location | Arlington, VA |
ISBN Number | 0-7803-6495-3 |
Accession Number | 7106659 |
Keywords | adaptive control, asymptotic stability, chemical technology, closed loop systems, feedback, Lyapunov methods, neurocontrollers, nonlinear control systems, process control |
Abstract | Adaptive nonlinear control is investigated for a class of continuously stirred tank reactor (CSTR) system. The CSTR plant under study belongs to a class of general nonlinear systems, and contains an unknown parameter that enters the model nonlinearly. Using adaptive backstepping and neural network (NN) approximation techniques, an alternative adaptive NN controller is developed that achieves asymptotic output tracking control. Both stability and control performance analysis of the closed-loop adaptive system are based on Lyapunov's stability techniques |
DOI | 10.1109/ACC.2001.945898 |