Electromechanical positioning system with a neuro-fuzzy corrector

• Autorzy: Paranchuk Yaroslav , Evdokimov Pavlo , Kuznyetsov Oleksiy

Identyfikatory

DOI

10.15199/48.2020.09.11

Warianty tytułu

PL

Elektromechaniczny system pozycjonowania ze sterowaniem wykorzystującym logikę rozmytą

• Języki publikacji: EN

Abstrakty

EN

Triple-loop elecromechanical positioning system with neuro-fuzzy corrector of position controller was developed. The structure of the neuro-fuzzy corrector has been grounded and the corrector itself has been designed. A computer Simulink model of a triple-loop two-mass positioning system has been developed. Statics and dynamics of the positioning process in a full range of reference signals and disturbances has been examined. The results of computer simulations demonstrate that the developed positioning system allows implementing optimal laws of actuator’s motion, and required positioning accuracy in a full range of reference signals and disturbances.

PL

Przedstawiono elektromechaniczny system pozycjonowania ze sterowanie wykorzystującym logikę rozmytą. Przeprowadzono symulację układu i analizę właściwości statycznych i dynamicznych. Analizowano treż wpływ zakłóceń.

Słowa kluczowe

EN

positioning; fuzzy corrector; neural network; overshoot; computer model

PL

system pozycjonowania; logika rozmyta

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 9
• Strony: 52--55
• Opis fizyczny: Bbliogr. 17 poz., rys., tab.

Twórcy

autor

Paranchuk Yaroslav

• Lviv Polytechnic National University, 12 S. Bandera Str., 79000, Lviv, Ukraine
• Hetman Petro Sahaidachnyi National Army Academy, 32 Heroiv Maidanu Str., 79000, Lviv, Ukraine

autor

Evdokimov Pavlo

• Hetman Petro Sahaidachnyi National Army Academy, 32 Heroiv Maidanu Str., 79000, Lviv, Ukraine

autor

Kuznyetsov Oleksiy

• Hetman Petro Sahaidachnyi National Army Academy, 32 Heroiv Maidanu Str., 79000, Lviv, Ukraine

Bibliografia

• [1] Sadovoy O.V., Derets O.L. Traction Electric Drives. DSTU, 2013. (Ukr)
• [2] Sadovoy A.V., Sukhinin B.V., and Sokhina Yu.V., Optimal Control Systems of Precision Electric Drives. ISIMO, 1996. (Rus)
• [3] Lozynskyy O., Paranchuk Y. and Paranchuk R., Fuzzy control law of electrode travel in arc steelmaking furnace, 2015 16th International Conference Computational Problems of Electrical Engineering (CPEE), Lviv, (2015), 103-106. doi: 10.1109/ CPEE.2015.7333349
• [4] Paranchuk Ya. S., Paranchuk R. Ya., Neural network system for continuous voltage monitoring in electric arc furnace, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2016), no. 2, 74-80.
• [5] Abdullin A.A., Drozdov V.N., Plotitsyn A.A., Optimal control system for precision electric drive with guaranteed degree of stability, Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 91 (2014), no. 3, 46-50. (Rus)
• [6] Beshta O.S., Balakhontsev O.V., Kuvayev M.V., Totkal O.V., Optimal control of positioning drive based on permanent magnet synchronous motor considering resilience, Electric Power Engineering & Control Systems 2009 (EPECS-2009), Lviv, Ukraine, (2009), 22-24. (Ukr)
• [7] Wicher B. and Brock S., Tuning Optimization of Extended State Observer for Two Mass System with Elastic Joint and Backlash, 2018 18th International Conference on Mechatronics - Mechatronika (ME), Brno, Czech Republic, (2018), 1-6.
• [8] Lozynskyi O., Lozynskyi A., Paranchuk Y., Paranchuk R., Holovach I. and Tsyapa V., Fuzzy extreme control and electric mode coordinates stabilization of arc steel-melting furnace, 2016 XIth International Scientific and Technical Conference on Computer Science and Information Technology (CSIT), Lviv, (2016), 49-54, doi: 10.1109/STC-CSIT.2016.7589866
• [9] Namazov M., Basturk O., DC motor position control using fuzzy proportional-derivative controllers with different defuzzification methods, Turkish Journal of Fuzzy Systems, 1 (2010), no. 1, 36-54.
• [10] Paranchuk Y., Evdokimov P., Koziy V., ?sjapa V., Mathematical modelling and experimental determination of parameters of the guidance system of weaponry complex, Computational Problems of Electrical Engineering, 8 (2018), no. 2, 73–78.
• [11] Natsheh E., and Buragga K.A., Comparison between conventional and fuzzy logic PID controllers for controlling DC motors, International Journal of Computer Science Issues, vol. 7 (2010), no. 5, 128-134.
• [12] Watanabe H., Dettloff W., Reconfigurable fuzzy logic processor: A full custom digital VLCI, International Workshop on Fuzzy Systems Applications, Iiruka, Japan, (1988), 49-50.
• [13] Sangalli A., Klir G.R., Fuzzy logic goes to market, New Scientist, (1992).
• [14] Bature A.A., Muhammad M., Abdullahi A.M., Design and real time implementation of fuzzy controller for DC motor position control, International Journal of Scientific & Technology Research, 2 (2013), no. 11, 254-256.
• [15] De Azevedo H.R., Branodao S.F.M., Da Mota Alves J. B., A fuzzy logic controller for DC motor position control, IEEE 2nd International Workshop on Emerging Technologies and Factory Automation (ETFA’93), Palm Cove-Cairns, Queensland, Australia, (1993), 18-27. doi: 10.1109/ETFA.1993.396433
• [16] Paranchuk Y., Evdokimov P., Kuznyetsov O., Ways of the BM- 21 fighting vehicle arming electromechanical aiming control system improvements on the basis of fuzzy logic, Electrical Power and Electromechanical Systems, 2 (2020), no. 1, 79-87. doi: 10.23939/sepes2020.01.079 (Ukr)
• [17] Paranchuk Y., Evdokimov P., Kuznyetsov O., Verification of the computer Simulink model of the electromechanical system of the mechanism of aiming the armament of a combat vehicle, Energy Engineering and Control Systems, 6 (2020), no. 1.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).