NDLI: Intelligent flight controllers for helicopter control

Content Provider	IEEE Xplore Digital Library
Author	Zein-Sabatto, S. Yixiong Zheng
Copyright Year	1997
Description	Author affiliation: Intelligent Control Syst. Lab., Tennessee State Univ., Nashville, TN, USA (Zein-Sabatto, S.)
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 H/sub d/, 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 H/sub t/ follows the desired altitude input H/sub d/. The design procedures, theoretical background, results and conclusions are presented in this paper.
Starting Page	617
Ending Page	621
File Size	425704
Page Count	5
File Format	PDF
ISBN	0780341228
DOI	10.1109/ICNN.1997.616092
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Helicopters Artificial intelligence Algorithm design and analysis Blades Rotors Artificial neural networks Genetic algorithms Fuzzy logic Aerodynamics Design methodology
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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