Naida V. Methods, models and information technology for testing the automatic control of mining-and-processing enterprise equipment

The thesis deals with solving a current scientific and practical task - improving the efficiency of manufacturing processes automation during new control algorithms and complex testing applications development through appropriate methods and models for emulation of signals and object behavior and analysis of automatic control systems operation. It has been proposed a set-theoretic model for a structure of emulating system of complex engineering object behavior during its interaction with a control system. The model is notable for an intelligent agent that performs mapping of control actions set and object conditions into a set of outputs, that allows developing an effective system for emulation and testing without simulation models based on dynamics equations. It has been developed a fuzzy computing model for interpolation of control object outputs. It uses information on current inputs and archive data of time-dependent sequence of control object inputs and outputs, that enables flexible modelling for control object behavior without systems of differential equations. It has been presented the method of emulation of continuous object control based on data logging, which provides automatic ordering of input data and forming of control object outputs with object dynamic properties mapping, that makes possible effective setup and adjustment of automatic control systems without field experiments. It has been improved the method of identification and synthesis of functional models for testing the automation complex objects by situational dynamic models of technological objects and analisys of situational object response, that enables reducing time and costs for control systems setup. It has been developed and implemented the information technology to support commissioning and testing procedures for automatic control of complex engineering processes. The quality of models, method and information technology has been investigated in emulation of electromechanical systems and testing of control algorithms.