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Associate Professor
Institute of Radioengineering Systems and Control
Senior researcher
Academy for Engineering and Technologies
Degree: Candidate of Sciences
Research interests:
The internal combustion engine (ICE) is one of the main sources of environmental pollution, as well as one of the most common means of the chemical energy of hydrocarbon fuels conversion to other types of energy, which causes a strong influence of the state of the art in engine engineering on the environment and the economy of the country. The methods proposed in the project are aimed at increasing the efficiency and ecological compatibility of the ICE as a whole. It corresponds to the concept of transition to environmentally friendly and resource-saving energy and promotes more complete processing of hydrocarbon fuels. At the same time, project aims at specific scientific problem with focusing on development of new methods of cylinder-adaptive control ICE, which based on the flame electrical conductivity signal (hereinafter referred to as “the ion current signal”) that increase the efficiency of the ICE by optimizing control signals. The work related to the control of ion currents in the engine combustion chamber originates at the dawn of engine engineering. The work was massively used in the optimization of the combustion chambers of piston and gas turbine engines both in Russia and abroad. At the same time, methods which use ion current signal to control combustion parameters of a fuel provide advantages as non-inertiality, high informative, and a signal response to several combustion parameters. The development of computer technology and the mass distribution of electronic control systems has led to progress in the interpretation of the ion current signal. Improved methods of signal processing are carried out many experiments to assess the effect of various parameters of the ICE on the signal characteristics. Thus, the known results show the possibility of estimating the signal of the ion current combustion parameters such as the maximum cycle pressure and the peak pressure position, an excess air ratio of the fuel mixture, the content of harmful substances in the exhaust gases, and others. The development of control methods for ICE operation entailed the improvement of engine control algorithms, while the most noticeable increase in the efficiency of ICE could be achieved using adaptability techniques in control system, such as feedback from the signals of the knock sensors and the lambda sensor. All this makes it reasonable to use the ion current sensor in advanced control systems, since it allows real-time monitoring of several parameters in each of the engine cylinders based on the signal from one sensor and ultimately reduces the number of sensors in the control system while increasing the number of feedback loops, controlled parameters and control channels (allows to carry out the cylinder control). It is known control system implementations, including those are produced serially, in which the ion current signal is used to control the ignition system on the basis of detonation, to stabilize the peak pressure position, detect engine misfiring, determine the phases of the engine and EGR control. The parametric models for estimating the torque produced by the engine from the ion current signal are known. The project prospectivity is proved by the growing number of publications on this subject every year in the leading scientific publications related to the use of the ion current signal in control systems of perspective engines (for example, HHCI - Homogenous charge compression ignition). However, the using of the ion current signal to several combustion parameters simultaneously causes the main weakness of these methods - the complexity of the correct interpretation of the signal. Another problem that stops the advancement of this engine control technologies is heavy dependence of the ion current signal to the effect of cycle-by-cycle parameters variations of combustion process and other stochastic processes. At the same time, ICE as an object of control is a complex essentially nonlinear system operating, as a rule, in dynamic modes under the random external and internal disturbances. Complexity of design and multi-mode engine operation cause that the number of its characteristics and parameters may be uniquely identified at any time. In these conditions the engine control and optimization problems require the use of modern control techniques to achieve high quality control in partial uncertainty. The novelty of the scientific project lies in the proposed to develop adaptive control techniques, which are distinguished by the identification of the parameters on combustion process from the integral characteristic of the ion current signal in real time. Another difference of the proposed project is the use of robust observers of the combustion process parameters and the ICE operation developed on the basis of the methods proposed by the author for analyzing the integral characteristic of the ion current signal. It allows solving the problem of random perturbations of the ion current signal associated with variations of combustion process and change of the engine parameters, such as fuel quality or atmosphere pressure. The author considers that he has a sufficient scientific and technical basis for solving the problems described in the project. Thus, the author has developed and tested the methods for interpreting the ion current signal by the implementation of RFBR project (Project N 16-38-00025 "New methods of the analysis of ion currents as a tool for research and optimize of the operation of the internal combustion engine"), author’s thesis "Research methods and optimization of combustion processes of fuel and air mixture in ICE", and in twenty publications, including one monograph, and five protection documents for intellectual property. The developed methods allow to evaluate the signal of the ion current maximum cycle pressure, peak pressure position, an excess air ratio of the fuel mixture, the detonation wave energy, the crankshaft rotation unevenness and other parameters with accuracy higher than the previously known methods based on the structural analysis of the signal. The described methods have been tested and experimentally verified on the basis of the bench equipment of Togliatti State University. Also, parametric dependences of the integral characteristic of the ion current are set on torque, efficiency, power, emissions of harmful substances and other operational characteristics of the ICE. The effect on the integral characteristic of the ion current signal is influenced by control, such as the ignition timing and the fuel control. It is planned to use these dependencies in the synthesis of the fuel control system and the ignition timing according to the criteria for the maximum power and efficiency of the ICE.
Research projects:
RFBR project N 16-38-00025 "New methods of the analysis of ion currents as a tool for research and optimize of the operation of the internal combustion engine"
