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将逆系统方法与模糊神经网络相结合,提出一种基于模糊神经网络α阶逆系统的发酵过程解耦控制方法.在分析了系统可逆性的基础上,利用模糊神经网络建立发酵过程的非线性逆模型,然后将得到的模糊神经α阶逆系统与发酵过程串联复合成伪线性系统,最后设计专家控制器实现高性能闭环解耦控制.仿真结果表明,提出的解耦控制方法能够适应发酵过程模型的不确定性和参数的时变性,具有较强的鲁棒性,克服了解析逆系统解耦控制方法依赖于过程模型和对模型参数的变化很敏感的缺点,且结构简单,易于实现.
Combining the inverse system method and the fuzzy neural network, a decoupling control method based on fuzzy neural network α-order inverse system is proposed.On the basis of analyzing the system’s reversibility, the fuzzy neural network is used to establish the nonlinear Inverse model, then the obtained fuzzy neural α-order inverse system and fermentation process are combined in series into pseudo-linear system, and finally the expert controller is designed to realize high-performance closed-loop decoupling control.The simulation results show that the proposed decoupling control method can adapt to the fermentation process The uncertainty of the model and the time-varying nature of the parameters have strong robustness and overcome the shortcomings that the analytical inverse system decoupling control method is dependent on the process model and sensitive to the change of the model parameters. The structure is simple and easy to implement.