微生物发酵生产过程是一种高度非线性、不确定的系统,发酵过程中很多关键变量难以在线直接测量,严重影响了这些系统的控制和优化,给这些生产过程的产品产量和质量的提高带来了严重的障碍。本文采用右逆控制方法实现对原系统的线性化解耦,采用左逆软测量方法来实现对难以直接测量的关键变量的软测量,并将软测量得到的结果作为右逆控制方法所需要的反馈变量,实现对微生物发酵的控制。这种左右逆协同工作,实现系统控制的方法可称为协同控制方法,所构造的控制器称为左右逆协同控制器。由于微生物发酵过程的强非线性特性,采用神经网络加动态环节(微分器、积分器)的方法来构造上述的左右逆协同控制器。仿真结果表明,这种左右逆协同控制方法能很好地实现对含有不直接可测变量的微生物发酵过程的控制。 Microbial fermentation process is a highly non-linear and uncertain system. Many key variables in fermentation process are difficult to measure directly online, which seriously affects the control and optimization of these systems and brings about the increase of output and quality of products in these production processes A serious obstacle. In this paper, the right inverse control method is used to realize the linearization decoupling of the original system. The left inverse soft measurement method is used to realize the soft measurement of the key variables that are difficult to measure directly. The soft measurement results are used as the right inverse control method Feedback variables, to achieve the control of microbial fermentation. This left and right inverse work together to achieve the system control method can be called collaborative control method, the controller is constructed as left and right inverse cooperative controller. Due to the strong non-linearity of microbial fermentation process, neural network and dynamic link (differentiator, integrator) are used to construct the left and right inverse cooperative controller. The simulation results show that this method can effectively control the fermentation process of microorganisms containing non-directly measurable variables.