Helicopter Turboshaft Engines' Gas Generator Rotor RPM Neuro-Fuzzy On-Board Controller Development

Abstract

The work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neurofuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing operating conditions. Methods have been developed, including improvements to the automatic control system structural diagram which made it possible to obtain the system transfer function in the bandpass flter transfer function form. The work also improved the fuzzy rules base and the neuron activation function mathematical model, which signifcantly accelerated the neuro-fuzzy controller training process. The transfer function frequency and time characteristics analysis showed that the system effectively controlled the engine and reduced vibration. Methods for ensuring a guaranteed stability margin and the synthesis of an adaptive flter were studied, which made it possible to achieve the system’s high stability and reliability. The results showed that the developed controller provided high stability with amplitude and phase margins, effectively compensating for changes in external conditions. Experimental studies have demonstrated that the control quality improved by 2.31–2.42 times compared to previous neurofuzzy controllers and by 5.13–5.65 times compared to classic PID controllers. Control errors were reduced by 1.84–2.0 times and 5.28–5.97 times, respectively, confrming the developed neuro-fuzzy controller’s high effciency and adaptability.Робота присвячена ротору газогенератора турбовальних двигунів гелікоптера R.P.M. розробка нейронечіткого контролера, що підвищує точність керування та підвищує стійкість системи до зовнішніх збурень та адаптивність до змін умов експлуатації.Работа посвящена разработке нейронечеткого контроллера оборотов ротора газогенератора турбовальных двигателей вертолетов, позволяющего повысить точность управления, а также устойчивость системы к внешним возмущениям и адаптивность к изменяющимся условиям эксплуатации.