DocumentCode :
3435335
Title :
Intelligent flight controllers for helicopter control
Author :
Zein-Sabatto, Saleh ; Zheng, Yixiong
Author_Institution :
Intelligent Control Syst. Lab., Tennessee State Univ., Nashville, TN, USA
Volume :
2
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
617
Abstract :
A methodology for design of an intelligent helicopter flight controller is presented in this paper. The methodology combines artificial neural network, genetic algorithms, conventional PID-controllers, and fuzzy logic algorithms in the design procedure. In this approach, the design of an intelligent controller is based on experimental data collected from actual helicopter flight and not based on analytical models. A neural network is trained to learn the dynamic characteristics of the helicopter. Based on the neural model, the coefficients of a PID-controller used for blade angle control are searched for using genetic algorithms. The main rotor speed controller is designed using fuzzy logic algorithm based on knowledge generated from understanding the aerodynamic theory and analyzing the helicopter experimental flight data. The intelligent helicopter flight controller is formed by combining the blade angle PID-controller and the rotor speed fuzzy controller. Simulation results showed that for desired altitude input Hd, the intelligent controller was able to generate proper control signals for both the blade angle control and the rotor speed control. The helicopter model altitude output Ht follows the desired altitude input Hd. The design procedures, theoretical background, results and conclusions are presented in this paper
Keywords :
aircraft control; control system synthesis; fuzzy control; genetic algorithms; helicopters; intelligent control; neurocontrollers; three-term control; PID-controller; aerodynamic theory; artificial neural network; blade angle PID-controller; blade angle control; fuzzy logic algorithm; fuzzy logic algorithms; genetic algorithms; intelligent helicopter flight controller; rotor speed controller; rotor speed fuzzy controller; Aerodynamics; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Blades; Design methodology; Fuzzy logic; Genetic algorithms; Helicopters; Rotors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
Type :
conf
DOI :
10.1109/ICNN.1997.616092
Filename :
616092
Link To Document :
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