(341o) Labview Control of Exothermic Semi -Batch Chemical Reactor

Semi-batch reactors are essential unit operations in the wide variety of bio-technological process. As compared to continuous chemical reactors, semi-batch reactors present unique modeling and control challenges due to complexity processes which, are inherently very nonlinear and have frequently changing steady state operating conditions. The present Lab-scale jacketed stirred tank reactor was used to carry out exothermic reaction that produces acetic acid from hydration of acetic anhydride. Plexiglas's reactor with dimension of (200X300mm) was design and constructed with best way. Advanced data-acquisition system is used with 32-bits to collect reliable data. PH and temperature of reactants would take as key parameters of reaction progress. Flow rate, pH, temperature of reactants and temperature of water are measured by advanced electronic sensors. LABVIEW technique has been proven the powerful graphical programming language that had its root in operation and automation control of the present non-linear semi-batch chemical reactor. The identification the reaction rate and its temperature dependence from a measured temperature profiles were obtained. Reaction have proven dual action as first order with low concentration of reactants while to be second order with high concentration. The reactor dynamically has been represented by the second order lag system with time delay. Maximizing yield of the acetic acid could obtained by feed forward control of inlet flow rate of acetic anhydride and feedback control of reactor temperature by cold water flow. Adaptive tuning of control parameters could be obtained by the Internal Model Control (IMC) .PID control has proven best mode for control reactor temperature with feedback loop. PD scheme was undesirable control for the noisy mixed system. Decoupling of interacted parameters of control loop would improve performance of the control action and stability of the reaction system. Experimental phase- plane technique has proven best method to limit stability conditions of the nonlinear system. Reasonable agreement has been obtained when compared the simulated results with the experimental data.