Title :
Simulation of Adaptive Blade Pitch Control for Elctrically Controlled Rotor
Author :
Liang, Hong ; Yang, Lu
Author_Institution :
Nat. Key Lab. of Rotorcraft Aeromechanics, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Electrically Controlled Rotor (ECR) is a new concept rotor system which was brought forward at the beginning of the 21st century. A control strategy of the ECR system is given out in this paper. An adaptive blade pitch control strategy of the ECR system is proposed, which is based on the adaptive filter with least mean aquare (LMS) algorithm. A secondary path on-line identification method with random signal is added into the control system. To eliminate the bad effect of the random signal, a secondary path filter is used. The effectiveness of the control strategy is verified through SIMULINK simulation. The results show that the control strategy can adapt the changes automatically in different flight conditions of the helicopter, and the actual blade pitch value will reach the required pitch value in less than 2 seconds.
Keywords :
adaptive control; adaptive filters; aircraft control; blades; control system synthesis; least mean squares methods; position control; rotors; ECR system; SIMULINK simulation; adaptive blade pitch control; adaptive filter; concept rotor system; electrically controlled rotor; helicopter condition; least mean aquare algorithm; random signal; secondary path filter; secondary path online identification method; Adaptation model; Adaptive filters; Blades; Control systems; Finite impulse response filter; Helicopters; Rotors; Electrically Controlled Rotor; adaptive control; blade pitch; simulation;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.380