MANUFACTURING PROCESS CONTROL TASKS

Obtaining a quality end product is the goal of any manufacturing process control. In the formal description of control problems, this goal allows us to form the boundary conditions for solving the control task. An additional condition for choosing a solution is to ensure the reliability of the process. The starting conditions for solving the control problem are the components of the vector of initial state parameters, determined by the degree of adjustment of the initial parameters and process modes. Understanding the initial and boundary conditions of existence allows us to formulate a generalized formal problem of process control, which consists in finding a vector of control variables that provide a minimum of error, taking into account the influence of a vector of random external variables. The problem is solved by the method of successive approximations. The stages of primary and secondary optimization in the construction of control algorithms are considered. The possibility of reducing the complexity of control tasks is shown by refusing to control individual components of the state vector and transforming control to ensure a minimum of the generalized error measure. In this formulation, the problem of process control can be reduced to the problem of process regulation. A process control scheme is presented. It considers the separability of error minimization for each component of the state vector. The assertions are illustrated by the example of the problem of managing a digital production site for performing the technological operation of etching printed circuit boards. This operation most fully reflects the initial provisions on the continuity of the procedures performed during its implementation and the degradation of the original state vector.