Key areas of my research relate with the development of control systems for electric drives of complex technological objects such as mining machines. Proposed control systems provide the full control of the object dynamic state. Consequently, the control systems allow simultaneously the level reducing of dynamic loading in mechanical transmission, which means decreasing the number of accidental stoppages, and the improving the energy efficiency.

Regarding to the control systems for mining machines until recently the constraint of its development and implementation was the technical complexity of mining version of high-speed semiconductor power converters, especially for gas-hazardous mines. However, in present, the market of mining version converters is gradually filling, and in addition, the positive experience of its implementation is accumulating.

The main object of the electric drive control system is to provide a high performance, achieved by adjusting the executive body speed. In practice, this task is often solved by the subordinate control system with the overload limitation in case of the motor current or the electromagnetic torque is over bound. In this case, due to the viscoelastic properties of mechanical couplings in the transmission the dynamic loading may exceed both the nominal and the limit values and the motor power consumption mode could be inefficient.

At the same time it is possible to develop the electric drive control systems providing the dynamic load limiting and the regulating of forces in elastic transmission couplings together with the power consumption minimization, even taking into account the specific operating conditions.

The ability to control the dynamic state of complex technological objects also opens creation prospects for the control systems aimed at the precision positioning in a confined space. Such researches have a high relevance to the industrial manipulators, for example in robotics.

The main results of my research is follow.

The gradient control algorithm for electric drives is proposed. It has a good workability for mining machines equipped with any traditional types of electric motors. Efficiency testing of this algorithm was carried out both with the computer simulation and the experimental research of the special frequency converter prototype. The errors of the electromagnetic torque and the flux under control of proposed algorithm were in the range 1..2% during the simulation. They were no more than 1.25% in laboratory tests and not exceeded 3% in industrial tests, which carried out in "Elektromashina" LLC, Kemerovo.

In addition to the control algorithm, the mathematical description of power losses in the AC drive including iron losses and copper losses is derived. It allows make a power losses estimation in dynamic state by means the instantaneous values of the supplied voltage and the state variables of the motor. The results of computer simulation confirm that the level of iron losses have changed depending on availability or lack in the electric drive structure the semiconductor power converter. The adequacy of this mathematical description was confirmed with the monitoring data of main belt conveyor in S.M. Kirov mine, Leninsk-Kuznetsky, equipped with 400 kW motors. The confirmation included computer simulation of the conveyor’s electric drives with the motor load got from monitoring data and comparison with real input and output motor power of each drive. The weighted average difference between power losses obtained from simulation and experiment was not more than 0.85 kW. Additional analysis of the mathematical description allows obtaining the formulas that minimize the total value of iron losses and copper losses. Based on them the analytical technique of the total power losses minimization is proposed.

Based on described solutions for the energy-saving control systems, the resource-saving control system for electric drive of mining machines is suggested. This system includes the torque control subsystem that is based on the gradient algorithm and has properties relatively equal of an instantaneous torque source. Also the resource-saving control system contains several original controllers one of them is a speed controller that solve the task of dynamic loading decreasing together with ensuring of acceptable executive body speed accuracy. As the speed controller is recommended an original adaptive controller and fuzzy controller. Simulation results confirm that the adaptive controller reduces dynamic loading in the mining machine transmission at 58% and the fuzzy controller reach 64% decreasing. Consequently, the operating time till an expectable accidental stoppage becomes larger.

All the above-mentioned results can be used in the educational process for students qualified in "Electrification and automation of mining operations" on the course "Automated electric drives" and for students qualified in "Electric drive and automation" on the courses "Theory of electric drive", "Electric drive control system", "Simulation of electromechanical systems".

I pay a large attention to a carrying out research with students. I supervised students’ scientific works which high level was awarded winning international conferences as well as the scientific competition of graduation works. Now I am working with master's degree students and postgraduate students.

Since 2012 I had been supervising scientific research by I.P. Maslov titled "The control system of variable frequency induction motor drives for local ventilation fan of coal mines". In 2015, I.P. Maslov had successfully defended his PhD thesis.

Currently, I supervise the master's research by L.A. Bogomolova, who is student from the group 5GM51. The topics of her thesis "The weighting coefficients formation fof the gradient control algorithm depending on the drive dynamic state".