Sensing the Technical Condition of Electrical Equipment of Mobile Robotic Systems for Solving Monitoring Tasks

To solve the problem of sensing the technical condition of electrical equipment of mobile robotic systems through the integration of sensory information, a monitoring procedure is proposed as an integral part of a maintenance and repair system based on the proactive concept. Using the method of associative analogy, the time-deterministic process of reducing the performance of a robotics system is compared with deterioration in human performance, which makes it possible to estimate the technical condition according to the generalized parameter characterizing the energy efficiency of a robotic system using fuzzy inference. Using the simulation of the perception of well-being as a cognitive function of a person, a numerical estimation of the complex’s current technical condition by the control system is implemented.