过热汽温的改进型Smith预估复合模糊控制

Improved Smith Predictor and Composited Fuzzy Control of Superheater Steam Temperature

针对过热汽温对象的非线性特性,设计了改进型Smith预估复合模糊控制算法.采用模糊与PID控制相结合的复合算法,可以有效改善系统的动态特性和适应性;采用一类改进型Smith预估算法,克服了过热汽温对象的大迟延特性.仿真结果表明,所设计的控制算法具有更强的负荷适应能力,系统的动态特性有了较大改善.

According to the non-linear of superheater steam temperature object,the improved Smith predictor and composite fuzzy control algorithm is designed by using control strategy composited fuzzy logic algorithm and PID controller, which can improve the dynamic feature and adaptability of the system. Considering the Smith predictor relying on model, the improved Smith predictor is used to compensate large time-delay feature of superheater steam temperature. The simulation result shows that the control strategy has better load adapability and dynamic characteristic.