Abstract:Abstract:〖WTBZ〗In order to solve the problems of the indoor temperature control system, such as response time lag, long adjustment time and large overshoot, a fuzzy PID temperature control system based on Smith estimation model is designed. To compensate the dynamic characteristics of the process, the Smith estimation controller is added to the feedback control system, and the simulation model is established by Matlab software. The experimental results show that the traditional PID algorithm and FuzzyPID algorithm have fast rising speed, but poor steady state quality and weak adjustment ability. Compared with other algorithms, the overshoot of Smith algorithm is small and it can make the system maintain good robustness, but the curve rise time and system adjustment time are slow. The temperature controlled by fuzzySmith rises rapidly, the overshoot is small, and it takes less time to adjust to the stable temperature value, which can significantly improve the performance of the temperature control system and achieve the expected steadystate characteristics. This algorithm can effectively suppress the effect of pure hysteresis, reduce the overshoot of the system and accelerate the response process.