4 research outputs found
Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Π½Π΅ΠΉΡΠΎΠΌΠ΅ΡΠ΅ΠΆΠ΅Π²ΠΈΡ Ρ Π½Π΅ΡΡΡΠΊΠΈΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π±Π°Π³Π°ΡΠΎΠΌΠ°ΡΠΎΠ²ΠΈΡ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ Π°Π½ΡΡΠ½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ
The study objective was to construct models of multimass electromechanical systems using neural nets, fuzzy inference systems and hybrid networks by means of MATLAB tools. A model of a system in a form of a neural net or a neuro-fuzzy inference system was constructed on the basis of known input signals and signals measured at the system output. Methods of the theory of artificial neural nets and methods of the fuzzy modeling technology were used in the study.A neural net for solving the problem of identification of the electromechanical systems with complex kinematic connections was synthesized using the Neural Network Toolbox application package of the MATLAB system. A possibility of solving the identification problem using an approximating fuzzy system using the Fuzzy Logic Toolbox package was considered. A hybrid network was synthesized and implemented in a form of an adaptive neuro-fuzzy inference system using the ANFIS editor. Recommendations for choosing parameters that have the most significant effect on identification accuracy when applying the methods under consideration were given. It was shown that the use of neural nets and adaptive neuro-fuzzy inference systems makes it possible to identify systems with accuracy of 2 to 4%.As a result of the conducted studies, efficiency of application of neural nets, fuzzy inference systems and hybrid nets to identification of systems with complex kinematic connections in the presence of "input-output" information was shown. The neural-network, fuzzy and neuro-fuzzy models of two-mass electromechanical systems were synthesized with the use of modern software tools.The considered approach to using artificial intelligence technologies, that is neural nets and fuzzy logic is a promising line of construction of appropriate neural-network and neuro-fuzzy models of technical objects and systems. The study results can be used in synthesis of regulators for the systems with complex kinematic connections to ensure their high performance.Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ°ΡΡΠΎΠ²ΡΡ
ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π° ΠΈ Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ MATLAB. ΠΠΎΠ΄Π΅Π»Ρ ΡΠΈΡΡΠ΅ΠΌΡ Π² Π²ΠΈΠ΄Π΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΎΠΉ ΡΠ΅ΡΠΈ ΠΈΠ»ΠΈ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π° ΡΡΡΠΎΠΈΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
Π²Ρ
ΠΎΠ΄Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΈ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π½Π° Π²ΡΡ
ΠΎΠ΄Π΅ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠ΅ΠΎΡΠΈΠΈ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΡ
Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ.ΠΡΠΏΠΎΠ»Π½Π΅Π½ ΡΠΈΠ½ΡΠ΅Π· Π½Π΅ΠΉΡΠΎΠ½Π½ΠΎΠΉ ΡΠ΅ΡΠΈ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΎ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ²ΡΠ·ΡΠΌΠΈ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΏΠ°ΠΊΠ΅ΡΠ° ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ Neural Network Toolbox ΡΠΈΡΡΠ΅ΠΌΡ MATLAB. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠΈΡΡΡΡΠ΅ΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΠ°ΠΊΠ΅ΡΠ° Fuzzy Logic Toolbox. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠΈΠ½ΡΠ΅Π· Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΠ΅ ΡΠ΅ΡΠΈ, ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π² ΡΠΎΡΠΌΠ΅ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ΅Π΄Π°ΠΊΡΠΎΡΠ° ANFIS. ΠΠ°Π½Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΏΠΎ Π²ΡΠ±ΠΎΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π²Π»ΠΈΡΡΡ Π½Π° ΡΠΎΡΠ½ΠΎΡΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ ΠΈ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π²ΡΠΏΠΎΠ»Π½ΡΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠΈΡΡΠ΅ΠΌ Ρ ΡΠΎΡΠ½ΠΎΡΡΡΡ 4β5 %.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π° ΠΈ Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ Π΄Π»Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌ ΡΠΎ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ²ΡΠ·ΡΠΌΠΈ ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Β«Π²Ρ
ΠΎΠ΄-Π²ΡΡ
ΠΎΠ΄Β». ΠΡΠΏΠΎΠ»Π½Π΅Π½ ΡΠΈΠ½ΡΠ΅Π· Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠΉ, Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΈ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π΄Π²ΡΡ
ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ².Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° β Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ ΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ Π΄Π»Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΡΡ
ΠΈ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ ΡΠΈΡΡΠ΅ΠΌ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈ ΡΠΈΠ½ΡΠ΅Π·Π΅ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠΎΠ² ΡΠΈΡΡΠ΅ΠΌ ΡΠΎ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ²ΡΠ·ΡΠΌΠΈ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π²ΡΡΠΎΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΠΠ΅ΡΠΎΡ ΡΠΎΠ±ΠΎΡΠΈ Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²Π° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π±Π°Π³Π°ΡΠΎΠΌΠ°ΡΠΎΠ²ΠΈΡ
Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΡΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π· Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½ΡΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡ Ρ Π³ΡΠ±ΡΠΈΠ΄Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΈΠΌΠΈ Π·Π°ΡΠΎΠ±Π°ΠΌΠΈ MATLAB. ΠΠΎΠ΄Π΅Π»Ρ ΡΠΈΡΡΠ΅ΠΌΠΈ Ρ Π²ΠΈΠ³Π»ΡΠ΄Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΎΡ ΠΌΠ΅ΡΠ΅ΠΆΡ Π°Π±ΠΎ ΡΠΈΡΡΠ΅ΠΌΠΈ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡ Π±ΡΠ΄ΡΡΡΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π²ΡΠ΄ΠΎΠΌΠΈΡ
Π²Ρ
ΡΠ΄Π½ΠΈΡ
ΡΠΈΠ³Π½Π°Π»ΡΠ² Ρ Π²ΠΈΠΌΡΡΡΠ½ΠΈΡ
ΡΠΈΠ³Π½Π°Π»ΡΠ² Π½Π° Π²ΠΈΡ
ΠΎΠ΄Ρ ΡΠΈΡΡΠ΅ΠΌΠΈ. ΠΡΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΡΠ΅ΠΎΡΡΡ ΡΡΡΡΠ½ΠΈΡ
Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΡ Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΡΠ²Π°Π½Π½Ρ.ΠΠΈΠΊΠΎΠ½Π°Π½ΠΎ ΡΠΈΠ½ΡΠ΅Π· Π½Π΅ΠΉΡΠΎΠ½Π½ΠΎΡ ΠΌΠ΅ΡΠ΅ΠΆΡ Π΄Π»Ρ Π²ΠΈΡΡΡΠ΅Π½Π½Ρ Π·Π°Π²Π΄Π°Π½Π½Ρ ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΡΡΠ½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠ· ΡΠΊΠ»Π°Π΄Π½ΠΈΠΌΠΈ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΠΌΠΈ Π·Π²βΡΠ·ΠΊΠ°ΠΌΠΈ Π· Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½ΡΠΌ ΠΏΠ°ΠΊΠ΅ΡΡ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΈΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌ Neural Network Toolbox ΡΠΈΡΡΠ΅ΠΌΠΈ MATLAB. Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΠΈΡΡΡΠ΅Π½Π½Ρ Π·Π°Π΄Π°ΡΡ ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ Π½Π΅ΡΡΡΠΊΠΎΡ Π°ΠΏΡΠΎΠΊΡΠΈΠΌΡΡΡΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ ΠΏΠ°ΠΊΠ΅ΡΡ Fuzzy Logic Toolbox. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΈΠ½ΡΠ΅Π· Π³ΡΠ±ΡΠΈΠ΄Π½Ρ ΠΌΠ΅ΡΠ΅ΠΆΡ, ΡΠ΅Π°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΎΡ Ρ ΡΠΎΡΠΌΡ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡ Π· Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½ΡΠΌ ΡΠ΅Π΄Π°ΠΊΡΠΎΡΠ° ANFIS. ΠΠ°Π΄Π°Π½ΠΎ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΡΡ Π· Π²ΠΈΠ±ΠΎΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ², ΡΠΎ Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΡΡΡΡΡΠ²ΠΎ Π²ΠΏΠ»ΠΈΠ²Π°ΡΡΡ Π½Π° ΡΠΎΡΠ½ΠΎΡΡΡ ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ ΠΏΡΠΈ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ ΡΠΎΠ·Π³Π»ΡΠ½ΡΡΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΡΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ Ρ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ Π²ΠΈΠΊΠΎΠ½ΡΠ²Π°ΡΠΈ ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΠΈΡΡΠ΅ΠΌ Π· ΡΠΎΡΠ½ΡΡΡΡ 4β5 %.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ
Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°Π½Π° Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΡΡΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡ Ρ Π³ΡΠ±ΡΠΈΠ΄Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ Π΄Π»Ρ ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΠΈΡΡΠ΅ΠΌ ΡΠ· ΡΠΊΠ»Π°Π΄Π½ΠΈΠΌΠΈ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΠΌΠΈ Π·Π²βΡΠ·ΠΊΠ°ΠΌΠΈ ΠΏΡΠΈ Π½Π°ΡΠ²Π½ΠΎΡΡΡ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Β«Π²Ρ
ΡΠ΄-Π²ΠΈΡ
ΡΠ΄Β». ΠΠΈΠΊΠΎΠ½Π°Π½ΠΎ ΡΠΈΠ½ΡΠ΅Π· Π½Π΅ΠΉΡΠΎΠΌΠ΅ΡΠ΅ΠΆΠ΅Π²ΠΎΡ, Π½Π΅ΡΡΡΠΊΠΎΡ Ρ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΡΡΠΊΠΎΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π΄Π²ΠΎΠΌΠ°ΡΠΎΠ²ΠΎΡ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ΅Ρ
Π°Π½ΡΡΠ½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ ΡΡΡΠ°ΡΠ½ΠΈΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½ΠΈΡ
Π·Π°ΡΠΎΠ±ΡΠ².Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ ΡΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΡΠ΅Π»Π΅ΠΊΡΡ β Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ Ρ Π½Π΅ΡΡΡΠΊΠΎΡ Π»ΠΎΠ³ΡΠΊΠΈ β Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΈΠΌ Π½Π°ΠΏΡΡΠΌΠΎΠΌ Π΄Π»Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΈΡ
Π½Π΅ΠΉΡΠΎΠΌΠ΅ΡΠ΅ΠΆΠ΅Π²ΠΈΡ
Ρ Π½Π΅ΠΉΡΠΎ-Π½Π΅ΡΡΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΡ
ΠΎΠ±'ΡΠΊΡΡΠ² Ρ ΡΠΈΡΡΠ΅ΠΌ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΠΈ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ ΠΌΠΎΠΆΡΡΡ Π±ΡΡΠΈ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Ρ ΠΏΡΠΈ ΡΠΈΠ½ΡΠ΅Π·Ρ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΡΠ² ΡΠΈΡΡΠ΅ΠΌ ΡΠ· ΡΠΊΠ»Π°Π΄Π½ΠΈΠΌΠΈ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΠΌΠΈ Π·Π²βΡΠ·ΠΊΠ°ΠΌΠΈ Π΄Π»Ρ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ Π²ΠΈΡΠΎΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡΠ² ΡΠΊΠΎΡΡΡ ΡΡΠ½ΠΊΡΡΠΎΠ½ΡΠ²Π°Π½Π½Ρ ΡΠΈΡΡΠ΅
Development of NeuralΒnetwork and Fuzzy Models of Multimass Electromechanical Systems
The study objective was to construct models of multimass electromechanical systems using neural nets, fuzzy inference systems and hybrid networks by means of MATLAB tools. A model of a system in a form of a neural net or a neuro-fuzzy inference system was constructed on the basis of known input signals and signals measured at the system output. Methods of the theory of artificial neural nets and methods of the fuzzy modeling technology were used in the study.A neural net for solving the problem of identification of the electromechanical systems with complex kinematic connections was synthesized using the Neural Network Toolbox application package of the MATLAB system. A possibility of solving the identification problem using an approximating fuzzy system using the Fuzzy Logic Toolbox package was considered. A hybrid network was synthesized and implemented in a form of an adaptive neuro-fuzzy inference system using the ANFIS editor. Recommendations for choosing parameters that have the most significant effect on identification accuracy when applying the methods under consideration were given. It was shown that the use of neural nets and adaptive neuro-fuzzy inference systems makes it possible to identify systems with accuracy of 2 to 4%.As a result of the conducted studies, efficiency of application of neural nets, fuzzy inference systems and hybrid nets to identification of systems with complex kinematic connections in the presence of "input-output" information was shown. The neural-network, fuzzy and neuro-fuzzy models of two-mass electromechanical systems were synthesized with the use of modern software tools.The considered approach to using artificial intelligence technologies, that is neural nets and fuzzy logic is a promising line of construction of appropriate neural-network and neuro-fuzzy models of technical objects and systems. The study results can be used in synthesis of regulators for the systems with complex kinematic connections to ensure their high performance