Computing information and control complex for control of road construction machines

Abstract

Abstract The article considers a model of the digging process carried out during the operation of a road-building machine, identifies the controlled and control parameters of the model. Based on the results of numerical simulation, it is shown that a rigid control algorithm is capable of providing effective results only in cases where most of the operating parameters of the machine do not go beyond the optimal area. To improve the efficiency of control and expand the permissible range of parameters of the state of the machine, it is proposed to use control based on fuzzy logic. The structure of synthesis of algorithms for fuzzy control of road-building machines is given. For the purpose of practical implementation of a fuzzy control algorithm, a basic model has been built, which includes 10 linguistic rules, on the basis of which chains of actions are formed during the operation of a machine. When implementing a fuzzy control model for the main parameters of the state of the machine, it is proposed to use triangular membership functions. The fuzzy inference surface for the fuzzy control algorithm is obtained and visualized, which makes it possible to efficiently search for the optimal trajectory of the control parameter function. An agent-based traffic model is considered, which describes the movement of road-building vehicles on a site and uses active and proactive algorithms. The results of numerical modeling confirm the feasibility of considering a variety of road-building machines at the site of joint work execution as a multi-agent system with elements of self-organization (CDPS-system). The maximum effect of self-organization is observed when the distance between the machines is changed, when they are uniformly located on the site. The expediency of combining local systems of automatic control of road-building machines into a single information and control complex is substantiated, a list of information and control tasks to be solved by the complex is formulated, and its structural diagram is synthesized.