A network action model of mechatronic devices of an automated module designed for precision surface conditioning of aluminum cards is presented. Given the asynchronous and stochastic nature of parallel technological processes, the authors implement an integrated approach at the interface of fuzzy Petri networks and expert product systems. The paper formalizes in detail the interaction of key active elements: a cleanup unit, a vision system and an industrial robot. Special attention is paid to the development of a decision-making algorithm for stabilizing the temperature mode of a lamp furnace. By applying trapezoidal membership functions and forming a linguistic rule base, a flexible relationship is established between the speed of the conveyor and the angle of rotation of the servomotor valve. The scientific novelty is in the integration of network and production modeling, which makes it possible to take into account the parallelism and uncertainty of system parameters with a lack of accurate mathematical data. The obtained results of modeling confirm the effectiveness of the proposed tools for the design and control of modern intelligent production modules.
Mustafaev et al. (Sat,) studied this question.