Fuzzy Group Regulator of the Automatic Control System for Fuel Supply to the Combustion Chamber of a Gas Turbine Engine
The relevance of developing a group controller based on fuzzy logic is manifested in the fact that when selective controllers are used as part of an automatic control system (ACS) for fuel supply to the combustion chamber of a gas turbine engine (GTE), there is a contradiction in the choice of control channels in transient modes. The aim of the research is to develop a group controller for automatic control of fuel supply to the combustion chamber of a gas turbine engine based on fuzzy logic instead of a selective controller to improve the quality of control. To achieve this goal, the following tasks were posed: 1) building an ACS model by supplying fuel to the combustion chamber of a gas turbine engine; 2) replacement of the selective controller with a fuzzy group controller; estimation of the quality of control of an ACS with a selective controller and with a fuzzy group controller according to the objective function. Methods. The idea of using minimum and maximum fuzzy controllers instead of elements based on multivalued logic is that the output of the fuzzy controller is formed considering both input values in the case when the difference between the input values is small. Replacing multi-valued logic with fuzzy controllers allows smooth switching of control channels. The fuzzy controller consists of a fuzzifier, a block of rules, and a defuzzifier. The fuzzifier contains two triangular term-sets "O" (negative deviation of input "x2" from input "x1") and "P" (positive deviation of input "x2" from input "x1"). The rule block contains two rules. The defuzzifier calculates the output using the weighted average method. An analysis of the simulation results showed that the use of fuzzy group regulator (FGR) as part of the ACS by supplying fuel to the combustion chamber of the GTE instead of the selector allows one to reduce the time of the transient process, but leads to an increase in over regulation. Conclusions: 1) we developed FGR, which provides the formation of a control action on the fuel dispenser, taking into account several control channels of ACS of GTE; 2) simulation modeling of ACS of GTE with a selector and FGR was carried out in the MATLAB Simulink; 3) the results of the experiments showed that the use of the FGR instead of the selector leads to an improvement in the quality of control by 2.05% in terms of the target function; 4) further research on the development of ACS problems by overdetermined control objects have been outlined; in addition to this it seems reasonable to expand the study in the field of group control of GTE ACS channels, in particular, to consider the problem of adaptive fuzzy control.