Model identification and comparison of different controller for the air-temperature process

The most important parameters of control in many industries is temperature. The switch on and off of a heater is the primitive method of controlling the temperature. Ultimately, the heater power is regulated to achieve a desired temperature but refinement could be employed to enhance the control accuracy. Such refinement in control strategy is achieved by designing appropriate controller. The temperature process is highly nonlinear and design of robust controller for such nonlinear system is a challenge. This cram discusses about the design of conventional controller and model based controller for air temperature control, where the power supply to the heater is regulated precisely. Most process industries employed PID as conventional control strategy. IMC tuning method is efficient in controlling the overshoot and dynamics of the temperature process. MPC is the model based control which gives a better control response and reduces the overshoot. The performance of the temperature process with Ziegler Nicholas PID(Z-N PID), Cohen-Coon PID (C-C PID), Modified Ziegler Nicholas PID with some overshoot (M Z-N PID with OS) & without Overshoot (M Z-N PID without OS), Tyreus-Luyben PID(T-L PID), Chien, Hrones and Reswich PID with Setpoint tracking (C-H-R PID with SP), Chien, Hrones and Reswich PID with Load Rejection (C-H-R PID with LR), Internal Model Controller PID(IMC-PID), Model Predictive Controller (MPC) are analyzed and its time domain specification in terms of settling time, peak overshoot, peak time, rise time and performance measures in terms of ISE, ITAE, TAE, MSE are compared in MATLAB Environment.