Bublikov A. Automation of the control of a mining machine based on the fuzzy inference algorithms

The dissertation deals with the solution of a topical scientific problem concerning the development of scientific grounds of the automation of mining machinery control by simultaneous, agreed, and fuzzy control of several structural subsystems of a machine by means of the synchronization of a discrete time change in the conditions of control subsystems and compensation of their effect on the operating modes, which they do not control, with the help of the specified dependences between their original clear variables. The dissertation substantiates the operating mode of mining machines, influencing the operator’s solutions as for the control of certain subsystems, and proposes the characteristics of the modes specifying them. In terms of the identification of expert rules of fuzzy productions for each operating mode of a mining machine, conditions of the changes in characteristics and the actions providing the trajectory of characteristics changes in time have been identified; in this context, the trajectory corresponds to the machine operation with rational technological and economic indices. New regularities of time changes in the stator current and active power of a cutting drive motors have been defined to identify the characteristics of the operating mode of a mining machine. That is unique for certain characteristics of the operating modes of the machine and their changes. The algorithm of the coordinated control by the expert subsystems of fuzzy control of the mining machinery operation has been developed based on the time distribution of the procedures of the formation of the subsystems’ controlling effects.