Akademik Veri Yönetim Sistemi
1st BİLSEL INTERNATIONAL TRUVA SCIENTIFIC RESEARCHES and INNOVATION CONGRESS 25-26 AUGUST 2023, ÇANAKKALE/TÜRKİYE, Çanakkale, Türkiye, 25 - 26 Ağustos 2023, cilt.1, sa.2, ss.138-146
PLC based PID control systems are widely used in industry. Many temperature processes in industry require variable temperature settings. In temperature processes that require complex heat treatments, different predetermined temperature values are used at different times in succession. PID control can be applied to linear systems. Therefore, before designing a PID controller for a system, it should be determined whether the system is linear or nonlinear. The input/output (static) characteristics of a system are used for the linearity analysis. If the system is linear, a single transfer function for the system is determined. If the system is nonlinear, the static characteristic curve is divided into linear ranges and a different transfer function is determined for each range.In this study, a resistance mini oven with a temperature range of 0-400 oC is considered. First of all, the
components required for the feedback control of the oven (SSR, S7-1200 Siemens PLC, Solid State Relay (SSR) PT100 temperature sensor, Transmitter, Current-voltage converter) were added to the oven and the total temperature process was created. The static characteristics of the physically formed total process were obtained
and the linear temperature range was determined. Using the transfer function obtained for the linear temperature range of the process P, PI and PID controllers were designed for the desired objective criteria. Simulation results were obtained for different operating conditions in Matlab/Simulink software environment. From the simulation
results, it is seen that the desired objective criteria are met.The system was physically realized with Siemens S7-1200 PLC. The PID controller software algorithm was
written in TIA Portal software environment and loaded to the PLC. Experimental results were obtained by running the system for the operating conditions in the simulation environment. Experimental results and simulation results are compared and necessary discussions are made for the control system.