| Because of large quantity of steam exhaust emission, waste heat has become a serious problem in many enterprises which used conventional thermal systems. As the steam exhaust temperature and pressure jump exist, it is hard to recuperate waste heat stably by water in recovery system, thus the utilization efficiency of waste heat is very low. According to the nonlinear factor of steam exhaust emission, the author has designed the fuzzy intelligent control system which could control the steam exhaust recovery level and temperature to ensure the steam exhaust recovery system runs smoothly, and improve the steam exhaust heat recovery efficiency.According to the control characteristics of the water tank level and temperature system, the fuzzy-PID control strategy was used to suppress the disturbance of steam exhaust flow. The fuzzy-PID control system combines the advantages of PID control algorithm and fuzzy control, could be achieved online adjustment of the control system. Thus, the control system's response speed is very fast, frequency of oscillation is low, and have a strong robustness and stability. Fuzzy control is based on prior knowledge and expertise for the control of an intelligent control technology rules, and has a good nonlinear control on the input variables and the error change rate of deviation, could adjust parameters such as KP, KI, KD online. PID control has a simple structure, the controller parameter setting flexible, robust features, this article will be combined with fuzzy control, build self-tuning fuzzy-PID controller, and the coupling between the liquid level and temperature to study the phenomenon of proposed decoupling control algorithm.The main contents of this paper: According to the dynamic characteristics of water level and temperature during the process of control, and self-tuning fuzzy-PID control algorithm, self-tuning fuzzy-PID controller has been designed and coupling decoupling control scheme has been proposed for the phenomenon of coupling between liquid level and temperature. Finally, the simulation on the temperature and liquid level control algorithm which proved using fuzzy control to be heating the water level and temperature control was effective. |