การประยุกต์ใช้การควบคุมแบบโมเดลพรีดิกทีฟร่วมกับคาลมานฟิลเตอร์สำหรับเครื่องปฏิกรณ์เคมีถังกวนแบบต่อเนื่องที่มีปฏิกิริยาคายความร้อนอันอับหนึ่ง / ปริญญาพร รักสวิด = Application of model predictive control with Kalman filter for continuous stirred tank reactor with first order reaction / Parinyaporn Ruksawid
This research presents the application of Model Predictive Control (MPC) with Kalman filter for the control of the temperature and the concentration of a reversible exothermic, first order reation in a continuous stirred tank reactor (CSTR) which exhibits highly nonlinear behavior and an irreversible exothermic, first order reaction in a continuous stirred tank reactor which firstly exhibits extreme parametric sensitivity behavior, secondly exhibits ignition an dextinction behavior for an open-loop system, and finally exhibits nonlinear oscillation at certain operating conditions. It is the goal of this thesis to design Model Predictive Controller with Kalman filter which can give a good control performance and guarantee the stability of closed-loop nonlinear continuous time systems subject to constraints. Several different problems have been considered, such as control performance, disturbance rejection, setpoint tracking and parametric model/plant mismatch, etc. Simulation results have shown that the Model Predictive Controller with Kalman filter provides better control performances than the conventional PID controller does for the control of the temperature and the concentration of a continuous stirred tank reactor in the cases of disturbance rejection and setpoint tracking. In addition, the Model Predictive Controller is more robust than the PID in presence of model/plant mismatch.
