الفهرس | Only 14 pages are availabe for public view |
Abstract The educational jet engine ”AMT olympus HP” is employed as a case study to investigate different control algorithms. Different fuel controllers are investigated with the objective of minimizing the acceleration and deceleration times while maintaining safe operation limits. The controllers design parameters are selected to cope with varying inputs along the operating line throughout the wide envelop of engine operating conditions. Three types of controller are compared. The classical PID with constant gains, fuzzy logic classical PD controller and an adaptive fuzzy logic PD controller with novel tuning of scaling factor according to selected fuzzy rules. Results show that, generally, the new developed adaptive fuzzy controller has superior time response characteristics among other controllers during both acceleration and deceleration |