350 rub
Journal Neurocomputers №12 for 2014 г.
Article in number:
Adaptive fuzzy control related GTE
Keywords:
aircraft engine-related management
decision matrix
neural fazzifikator adaptive neuron
consistent training method
modified centroid
Authors:
Т. S. Legotkina- Ph.D. (Eng.), Associate Professor, Perm National Research Polytechnic University
E-mail: luda@at.pstu.ac.ru
Yu. N. Khizhnyakov- Dr.Sc. (Eng.), Professor, Perm National Research Polytechnic University
Abstract:
Propeller turbine engine (PTE) with rotor is widely used in aviation. To operate the PTE are utilized the main contour of swing angle and additional contour of PTE power. The PTE capacity is the NV power which is determined by the angle of turn of working floats, frequency of floats rotation, temperature and air pressure at the flying altitude. To increase the PTE efficiency the contours are interconnected and equipped by unclear regulators. The unclear regulators of PTE operation system include adaptive fazzificators of neuron execution, unclear output block and defazzificator. The fazzificator adaptivity is reached by neurons with consistent radiation. The bound management of PTE contours is provided by solutions matrix with a special algorithm. This algorithm solves the problem of its proportion. Defazzification is executed on the centroid method. The article also mathematically describes the unclear output block according to the Zade algorithm.
The article proves the possibility of applying the PTE unclear management under undetermined conditions which is not possible under the clear management.
Pages: 45-49
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