Akademik Veri Yönetim Sistemi
JOURNAL OF CONTROL AND DECISION, 2025 (ESCI, Scopus)
Temperature control for dryers is extremely critical. Systems whose temperature control is not done in a stable and precise manner endanger life and property safety by creating fire and explosion at unexpected times. Therefore, the temperature should be set to the desired value with the minimum overshoot. In this study, first, in the literature, simultaneously nine different control methods, using PI, PID, PID-Tuner, particle-swarm-PI (PSO-PI) and PID (PSO-PID), artificial-bee-colony-PI (ABC-PI) and PID (ABC-PID), fuzzy-logic-controller (FLC), and fuzzy-gain-scheduled-proportional and integral (FGPI) controller methods, are investigated for drying-machine precise temperature control. The transfer function of the system was estimated with 97.93% success rate in Matlab-Simulink and simulation studies confirmed that it was stable according to Root Locus, Nyquist and Bode stability criteria. With the ABC-PID-based temperature control method proposed the system reached the set value of 54.44 degrees C in 7 s with an overshoot of 0.00036738%. Simulation results are validated with the experimental results.