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工业发酵是在密闭的容器中进行,利用夹套进行加热和冷却,其温度控制具有很大的应用价值。但这种被控对象往往存在严重的积分纯滞后现象,采用常规的控制算法难以达到所要求的控制品质,尤其是对超调量有较严格的限制时,常规的PID等算法很难达到令人满意的效果,将模糊免疫PID控制算法与自适应控制算法相结合,设计了一种模糊免疫自适应PID控制算法。当被控对象由于干扰等原因特性发生改变时,该算法具有一定的自适应能力。仿真结果表明,该方法具有超调量小;调整时间短和鲁棒性强等优点,控制效果优于常规的模糊PID控制等方法。
Industrial fermentation is carried out in a closed container, the use of jacket heating and cooling, the temperature control has great application value. However, this type of controlled object often has a serious problem of integral lag. It is difficult to achieve the required control quality by using conventional control algorithms. In particular, when there are more strict restrictions on overshoot, conventional algorithms such as PID are difficult to achieve People satisfied with the effect of the fuzzy immune PID control algorithm and adaptive control algorithm combined to design a fuzzy immune adaptive PID control algorithm. When the controlled object changes due to interference and other reasons, the algorithm has a certain self-adaptive ability. The simulation results show that the proposed method has the advantages of small overshoot, short adjustment time and robustness, and the control effect is superior to the conventional fuzzy PID control.