SYNTHESIS OF GAS TURBINE ENGINE CONTROL SYSTEM BASED ON FUZZY LOGIC
DOI:
https://doi.org/10.31471/1993-9981-2021-1(46)-53-62Keywords:
: gas turbine engine, fuzzy logic, membership functions, control system, non-stationary object, fuzzy - regulator.Abstract
The synthesis of the fuzzy regulator of the rotor speed control system of a gas turbine engine is presented in the work. The results of mathematical modeling of a system with a digital fuzzy controller, which form a control effect on a non-stationary control object, are demonstrated. A comparative assessment of adaptive control based on fuzzy logic (FD) of the considered nonstationary object is given. A comparative evaluation of the work, which is characterized by the current error of the adaptive control system and the system calculated on the basis of NL, allows us to conclude that the use of fuzzy controller for control systems considered typical non-stationary objects is appropriate because the current error in the system fuzzy-regulator does not exceed the current error in the adaptive system.
When forming the structural schemes of SU with fuzzy-regulators, it seems important to choose the input parameters of the fuzzy-regulator. Linguistic control rules alone cannot be implemented on modern computers. The procedure of their formalization is necessary. In this regard, the task of choosing a method of formalizing expert knowledge is very important. In addition, since fuzzy sets are formalized by membership functions, the choice of their form and parameters plays a significant role. When implementing fuzzy control in modern computers, it is necessary to set specific values of the parameters of membership functions, in particular the limits of their change. Therefore, the technique of parametric adjustment of the fuzzy controller is important.
When designing the controller from the minimum quality criteria calculated for different variants, the use of exponential membership functions is chosen, which when optimizing the HP parameters give the least of the minimum values of the indicator J.
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References
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