Maintaining thermal stability in the firing zone of traveling grate pelletizing processesTraveling grate pelletizing process (TGPPs) is essential to ensure pellet quality and energy efficiency. In practice, thermal stability is strongly affected by fluctuations in feed rate and grate speed. Their combined influence often causes a mismatch between heat input and thermal load, which conventional controllers cannot effectively handle. To address this issue, this paper proposes an adaptive controlAdaptive control strategy that integrates fuzzy logic and rule-based systems. First, a switching mechanism selects the appropriate controller based on the real-time operating condition identified by an isolation forest model. During fluctuating conditions, a rule-based controller rapidly compensates for disturbances, driven by the grate speed-fan matching residual and the temperatureTemperature trend. Under stable conditions, a fuzzy logic controller ensures precise fan regulation using temperatureTemperature error and its rate of change. SimulationSimulation results demonstrate that the proposed adaptive strategy achieves superior thermal stability compared to conventional PID and fuzzy controllers, offering an effective solution for the intelligent automation of TGPPs.