电厂主汽温的模糊逆控制

Fuzzy Inverse Control of Main Steam Temperature in Power Plants

采用模糊辨识的方法建立了电厂主汽温系统的T-S模糊逆模型.该模型的前提结构采用模糊均值聚类方法辨识,结论参数由最小二乘法辨识,并结合最小均方根算法在线调节逆模型,将其作为系统控制器,以解决电厂主汽温系统的大惯性、大延迟的动态特性.仿真结果表明,该方法可以提高电厂主汽温系统的鲁棒性和动态稳定性.

The method of fuzzy identification is adopted to set up the T-S fuzzy inverse model, the premise structure of which uses fuzzy c-mean algorithm. The conclusion parameter is identified by the least squares identification, and is combined with least mean squares algorithm to adjust online as a system controller, in order to solve the inert and delay of the main steam temperature system. Simulation results show that the method improves the robustness of power plant main steam temperature system and its dynamic stability.