THESIS ON DESIGN OF OPTIMAL TEMPERATURE CONTROLLER FOR INCUBATOR SYSTEM USING MODEL PREDICTIVE CONTROL

Abstract

Thesis was presents the design of optimal temperature controller for egg incubator system using model predictive control. Egg incubator is the technology which play important role in the modern agricultural practice by providing temperature at optimal level. The mathematical model of an egg incubator developed in this thesis was using the laws of conservation of heat and mass. Linear Quadratic Regulator (LQR) algorithm used to design the model predictive control (MPC) to control egg incubator system that was utilized explicit process model to predict the future response of an egg incubator system. At each control interval, an MPC procedure attempts to optimize future temperature of egg incubator system behavior was computed the sequence of future manipulated variable adjustments. The basic MPC controller for egg incubator system could be designed with proper limit on the prediction horizon and model length. And also in this thesis the prediction horizon has to be kept sufficiently larger than control horizon. The MATLABTM software have been used to assess and simulate the overall behavior of the optimal temperature control of egg incubator system parameters. The simulation result shows that the temperature at the optimal thermal factors are achieved when egg temperature remains in the range between 36 - 38°C throughout the incubation period when using an egg incubator. Finally the thesis was completed by simulation result, conclusion and recommendation.