Intelligent control of DC motor driven electromechanical fin actuator
Само за регистроване кориснике
2012
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this paper modeling, simulation and control of an electromechanical actuator (EMA) system for aerofin control (AFC) with permanent magnet brush DC motor driven by a constant current driver are investigated. Nonlinear model of the EMA-AFC system has been developed and experimentally verified in actuator test bench. Model has been used as the starting point for PID position controller synthesis. To improve performances of the system, computational intelligence has been applied. Genetic PID optimization, genetic algorithm (GA) optimized fuzzy supervisory PID control and finally GA optimized nonlinear PID algorithm modification are proposed. Improved transient response and system behavior have also been experimentally validated.
Кључне речи:
Genetic algorithms / Fuzzy control / Electromechanical actuator / DC motor / Current motor driver / AerofinИзвор:
Control Engineering Practice, 2012, 20, 6, 610-617Издавач:
- Pergamon-Elsevier Science Ltd, Oxford
DOI: 10.1016/j.conengprac.2012.02.009
ISSN: 0967-0661
WoS: 000303640000006
Scopus: 2-s2.0-84859625468
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Ristanović, Milan AU - Ćojbašić, Žarko AU - Lazić, Dragan PY - 2012 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1439 AB - In this paper modeling, simulation and control of an electromechanical actuator (EMA) system for aerofin control (AFC) with permanent magnet brush DC motor driven by a constant current driver are investigated. Nonlinear model of the EMA-AFC system has been developed and experimentally verified in actuator test bench. Model has been used as the starting point for PID position controller synthesis. To improve performances of the system, computational intelligence has been applied. Genetic PID optimization, genetic algorithm (GA) optimized fuzzy supervisory PID control and finally GA optimized nonlinear PID algorithm modification are proposed. Improved transient response and system behavior have also been experimentally validated. PB - Pergamon-Elsevier Science Ltd, Oxford T2 - Control Engineering Practice T1 - Intelligent control of DC motor driven electromechanical fin actuator EP - 617 IS - 6 SP - 610 VL - 20 DO - 10.1016/j.conengprac.2012.02.009 ER -
@article{ author = "Ristanović, Milan and Ćojbašić, Žarko and Lazić, Dragan", year = "2012", abstract = "In this paper modeling, simulation and control of an electromechanical actuator (EMA) system for aerofin control (AFC) with permanent magnet brush DC motor driven by a constant current driver are investigated. Nonlinear model of the EMA-AFC system has been developed and experimentally verified in actuator test bench. Model has been used as the starting point for PID position controller synthesis. To improve performances of the system, computational intelligence has been applied. Genetic PID optimization, genetic algorithm (GA) optimized fuzzy supervisory PID control and finally GA optimized nonlinear PID algorithm modification are proposed. Improved transient response and system behavior have also been experimentally validated.", publisher = "Pergamon-Elsevier Science Ltd, Oxford", journal = "Control Engineering Practice", title = "Intelligent control of DC motor driven electromechanical fin actuator", pages = "617-610", number = "6", volume = "20", doi = "10.1016/j.conengprac.2012.02.009" }
Ristanović, M., Ćojbašić, Ž.,& Lazić, D.. (2012). Intelligent control of DC motor driven electromechanical fin actuator. in Control Engineering Practice Pergamon-Elsevier Science Ltd, Oxford., 20(6), 610-617. https://doi.org/10.1016/j.conengprac.2012.02.009
Ristanović M, Ćojbašić Ž, Lazić D. Intelligent control of DC motor driven electromechanical fin actuator. in Control Engineering Practice. 2012;20(6):610-617. doi:10.1016/j.conengprac.2012.02.009 .
Ristanović, Milan, Ćojbašić, Žarko, Lazić, Dragan, "Intelligent control of DC motor driven electromechanical fin actuator" in Control Engineering Practice, 20, no. 6 (2012):610-617, https://doi.org/10.1016/j.conengprac.2012.02.009 . .