Fazi-neuro-genetsko upravljanje aerokrila
Fuzzy-neuro-genetic aerofin control
Апстракт
U ovom radu razmatrano je fazi-genetsko-neuro upravljanje elektromehaničkog aktuatora aerokrila za kontrolu leta projektila, pokretanim motorom jednosmerne struje sa četkicama i permanentnim magnetom koji je pogonjen drajverom sa konstantnom strujom. U našim prethodnim radovima, na osnovu razvijenog nelinearnog modela sistema, razvijena su i testirana različta konvencionalna i hibridna konvencionalno-inteligentna upravljanja. U ovom radu predloženo je fazi i neuro-fazi upravljanje sa genetskom optimizacijom. Predloženi inteligentni upravljački sistemi, koji obezbeđuju dobro ponašanje sistema, su verifikovani numeričkim simulacijima i upoređeni sa prethodnim rezultatima. .
In this paper fuzzy-neuro-genetic control of an electromechanical actuator (EMA) system for aerofin control (AFC), with permanent magnet brush DC motor driven by a constant current driver, is investigated. In our previous papers, nonlinear model of the EMA-AFC system and different classical and hybrid classicalcomputationally intelligent control systems have been designed and tested. In this paper we have proposed fuzzy and neuro-fuzzy control with genetic optimization. Proposed intelligent control systems, providing good transient response and system behaviour, have been validated by various numerical experiments and compared to previous results. .
Кључне речи:
upravljačko krilo / neuro-fazi upravljanje / genetski algoritmi / fazi upravljanje / elektromehanički aktuator / drajver sa konstantnom strujom / neuro-fuzzy control / genetic algorithms / fuzzy control / electromechanical actuator / constant current driver / aerofinИзвор:
Facta universitatis - series: Automatic Control and Robotics, 2011, 10, 1, 71-82Издавач:
- Univerzitet u Nišu, Niš
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Lazić, Dragan AU - Ćojbašić, Žarko AU - Ristanović, Milan PY - 2011 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1171 AB - U ovom radu razmatrano je fazi-genetsko-neuro upravljanje elektromehaničkog aktuatora aerokrila za kontrolu leta projektila, pokretanim motorom jednosmerne struje sa četkicama i permanentnim magnetom koji je pogonjen drajverom sa konstantnom strujom. U našim prethodnim radovima, na osnovu razvijenog nelinearnog modela sistema, razvijena su i testirana različta konvencionalna i hibridna konvencionalno-inteligentna upravljanja. U ovom radu predloženo je fazi i neuro-fazi upravljanje sa genetskom optimizacijom. Predloženi inteligentni upravljački sistemi, koji obezbeđuju dobro ponašanje sistema, su verifikovani numeričkim simulacijima i upoređeni sa prethodnim rezultatima. . AB - In this paper fuzzy-neuro-genetic control of an electromechanical actuator (EMA) system for aerofin control (AFC), with permanent magnet brush DC motor driven by a constant current driver, is investigated. In our previous papers, nonlinear model of the EMA-AFC system and different classical and hybrid classicalcomputationally intelligent control systems have been designed and tested. In this paper we have proposed fuzzy and neuro-fuzzy control with genetic optimization. Proposed intelligent control systems, providing good transient response and system behaviour, have been validated by various numerical experiments and compared to previous results. . PB - Univerzitet u Nišu, Niš T2 - Facta universitatis - series: Automatic Control and Robotics T1 - Fazi-neuro-genetsko upravljanje aerokrila T1 - Fuzzy-neuro-genetic aerofin control EP - 82 IS - 1 SP - 71 VL - 10 UR - https://hdl.handle.net/21.15107/rcub_machinery_1171 ER -
@article{ author = "Lazić, Dragan and Ćojbašić, Žarko and Ristanović, Milan", year = "2011", abstract = "U ovom radu razmatrano je fazi-genetsko-neuro upravljanje elektromehaničkog aktuatora aerokrila za kontrolu leta projektila, pokretanim motorom jednosmerne struje sa četkicama i permanentnim magnetom koji je pogonjen drajverom sa konstantnom strujom. U našim prethodnim radovima, na osnovu razvijenog nelinearnog modela sistema, razvijena su i testirana različta konvencionalna i hibridna konvencionalno-inteligentna upravljanja. U ovom radu predloženo je fazi i neuro-fazi upravljanje sa genetskom optimizacijom. Predloženi inteligentni upravljački sistemi, koji obezbeđuju dobro ponašanje sistema, su verifikovani numeričkim simulacijima i upoređeni sa prethodnim rezultatima. ., In this paper fuzzy-neuro-genetic control of an electromechanical actuator (EMA) system for aerofin control (AFC), with permanent magnet brush DC motor driven by a constant current driver, is investigated. In our previous papers, nonlinear model of the EMA-AFC system and different classical and hybrid classicalcomputationally intelligent control systems have been designed and tested. In this paper we have proposed fuzzy and neuro-fuzzy control with genetic optimization. Proposed intelligent control systems, providing good transient response and system behaviour, have been validated by various numerical experiments and compared to previous results. .", publisher = "Univerzitet u Nišu, Niš", journal = "Facta universitatis - series: Automatic Control and Robotics", title = "Fazi-neuro-genetsko upravljanje aerokrila, Fuzzy-neuro-genetic aerofin control", pages = "82-71", number = "1", volume = "10", url = "https://hdl.handle.net/21.15107/rcub_machinery_1171" }
Lazić, D., Ćojbašić, Ž.,& Ristanović, M.. (2011). Fazi-neuro-genetsko upravljanje aerokrila. in Facta universitatis - series: Automatic Control and Robotics Univerzitet u Nišu, Niš., 10(1), 71-82. https://hdl.handle.net/21.15107/rcub_machinery_1171
Lazić D, Ćojbašić Ž, Ristanović M. Fazi-neuro-genetsko upravljanje aerokrila. in Facta universitatis - series: Automatic Control and Robotics. 2011;10(1):71-82. https://hdl.handle.net/21.15107/rcub_machinery_1171 .
Lazić, Dragan, Ćojbašić, Žarko, Ristanović, Milan, "Fazi-neuro-genetsko upravljanje aerokrila" in Facta universitatis - series: Automatic Control and Robotics, 10, no. 1 (2011):71-82, https://hdl.handle.net/21.15107/rcub_machinery_1171 .