Abstract: To address the large inertia, large hysteresis, and significant parameter variations of the controlled superheated steam temperature in power plants under different operating conditions, an adaptive internal model control strategy based on multiple models is proposed. By identifying multiple models under different operating conditions, corresponding internal model controllers are designed. The appropriate controller is selected based on the operating conditions, thus achieving adaptive operation across all operating conditions. Simultaneously, an adaptive control law is designed using the controlled superheated steam temperature as a reference model, gradually approximating the parameters of the controlled object until they are equal. Simulation results show that this control strategy exhibits better control quality than conventional internal model control. Keywords: Adaptive; Multiple Models; Internal Model Control; Superheated Steam Temperature Abstract: Based on the performance of superheated steam temperature, an adaptive internal model control (IMC) method based on multiple models is proposed. The multiple models are obtained by weighted summation. Their corresponding internal controllers are designed. By choosing an appropriate controller according to the operating conditions, the self-adaptive control of the total operating conditions is realized. This paper takes the main steam temperature control process as the reference model to obtain the rule of adaptive control in order to make the parameters of the nominal model approach the parameters of the controlled object and gradually equal it. The simulation results show that the method is effective. Key words: Adaptive; Multiple Models; Internal Model Control; Superheated Steam Temperature 1 Introduction Time delay is a common problem encountered in many industrial controls. The existence of time delay prevents the controlled variable from reflecting the disturbances experienced by the system in a timely manner, leading to increased dynamic error, reduced stability margin, and instability in systems with large time delays. Many control methods for time-delayed objects have been developed from different perspectives. PID control algorithm is the simplest among them, and the control parameters can be tuned or analytically designed according to empirical formulas; lead differential or cascade control is currently the most widely used control strategy for time-delay objects [1]. Predictive control and Smith predictor are also control methods that have been studied a lot. Smith predictor control [2] has high requirements for the model of the controlled object, otherwise it may cause poor control quality or even oscillation of the control system. The concept of internal model control (IMC) was proposed by Garcia et al. in 1982. Due to its simple design, good tracking performance, strong robustness and ability to eliminate the influence of unmeasurable disturbances, it has always been valued by the control community. Boiler superheated steam temperature is an important parameter affecting the safe and economical operation of thermal power plants. It has the characteristics of large delay, large inertia and time-varying parameters with changing operating conditions. This paper proposes an adaptive [4] internal model control strategy based on multi-model switching for superheated steam temperature object with large time delay, large inertia and time-varying parameters [3]. For details, please click: Research on Multi-Internal Model Adaptive Internal Model Control of Superheated Steam Temperature.