By J.B. Rawlings
3 very important parts of technique dynamics and regulate: chemical reactors, distillation columns and batch techniques are the most issues of dialogue and assessment on the IFAC Symposium on Dynamics and regulate of Chemical Reactors, Distillation Columns and Batch approaches (DYCORD '95). This precious ebook was once made out of the newest within the sequence, offering a close evaluate of advancements of key applied sciences in the box of approach dynamics and keep watch over
Read or Download Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (Dycord'95). A Postprint Volume from the 4th IFAC Symposium, Helsingør, Denmark, 7–9 June 1995 PDF
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Extra resources for Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (Dycord'95). A Postprint Volume from the 4th IFAC Symposium, Helsingør, Denmark, 7–9 June 1995
TEI=10S. The difficulty of the control problem can be seen from the transients obtained with a fixed PIcontroller tuned at pH 7, as shown in Fig. 3. This poor controller performance motivated us to design nonlinear fuzzy logic controllers. Pi-controller The mathematical equations of the CSTR can be derived as follows (McAvoy, 1972): (1) 500 d(c2) 1 ^ = -MF2-c2,e-(F1+F2)-c2] m C H+ +C V (2) H+ *(KHAc+C2)+CH+ '[KHAc-fcz-CiJ-Kw] pH = -log[c H + ] . 1500 Fig. 3: Performance of Pi-control (experiment) R ~KHAc*Kw = fj 1000 time [s] 3.
In order to achieve rapid solution of the optimal estimator, only the reversible deactivation caused by some strongly absorbed compounds which are formed from the non-selective oxidation of o-xylene is considered. These absorbed compounds could be removed by increasing oxygen partial pressure. In order to handle the irreversible deactivation, a maximal available activity is introduced. If no irreversible deactivation occurs and all the deposited compounds are removed, the maximal available activity will equal to one; otherwise, it will be less than one.
Fig. 5 shows typical behaviour of the system for a set of transients, illustrating the difficulties with such an approach for a complex system; even though the rules have been chosen symmetrically (see Fig. 6) the controller may show an excellent response for an initial set point change while for other set point changes the controller performs poorly. The designer has to change the fuzzification and the rules iteratively in order to obtain an acceptable behaviour over the whole range of operation.