การประยุกต์ใช้การควบคุมแบบโมเดลพรีดิกทีฟร่วมกับคาลมานฟิลเตอร์ สำหรับการควบคุมอุณหภูมิของเครื่องปฏิกรณ์เคมีพอลิเมอร์แบบแบตซ์ / สุพัตรา ทองมีสี = Application of model predictive control with the kalman filter for temperature control of a batch polymerization reactor / Suputtra Tongmeesee
It is well known that free-radical polymerizations involve highly exothermic reactions. Such polymerizations are normally produced in the manner of batch process occurring in a batch reactor. Presently, temperature control is needed to define polymer specifications, the objectives of maximization of productivity and minimization of batch time. Conventionally, PID feedback control is applied to manage the temperature profile of the batch reactor. The PID controller although provides good controller performance, it normally gives control response with overshoot, this result in off-spec products. Therefore, an advanced process control is required. Model Predictive Control (MPC), one of advanced process control has been proposed and developed to handle nonlinear system including batch and continuous processes. This thesis, therefore, presents the application of MPC for the temperature control of a batch polymerization reactor. Kalman filter, an estimation technique is included into the MPC algorithm to estimate unmeasurable states as well as unknown/ uncertain parameters used in the formulation of MPC. The performance of MPC with kalman filter is compared to that of asimple nonlinear control technique named Generic Model Control (GMC). Simulation results have shown that MPC with kalman filter give a better control perfomrance than that of GMC with kalman filter in normal case and even in the presence of plant/ model mismatch in decrease in heat transfer coefficient and rate of termination reaction and in increase of the monomer concentration and heat of reactions.
