NDLI: Fuzzy-PID control algorithm of the helicopter model flight attitude control

Content Provider	IEEE Xplore Digital Library
Author	Le Zhang Shaojie Bi Hong Yang
Copyright Year	2010
Description	Author affiliation: School of Information Engineering, Shenyang University, 110004, China (Shaojie Bi; Hong Yang) \|\| School of Electronic and Information Engineering, Dalian University of Technology, 116023, China (Le Zhang)
Abstract	One of the key questions in design of the helicopter control system is attitude control. Furthermore, it has non-linear and multi-variable coupling characteristics and so on. Therefore, it's a big challenge with the real-time and reliable attitude control. The three degree-of-freedom helicopter model was used as the controlled object. Through the research of modeling, controller designing and simulating, the application of control theory and technology can be made full use of in the complicated system. PID was introduced as the traditional method. Specific to the defects of PID, the fuzzy control algorithm was used to conquer the defects of pure PID controller. Based on the respective advantage of PID and fuzzy controller, PID and fuzzy controller were combined together as one controller which fit together with switch and weighted value. It optimized the flying gesture of the helicopter. The real-time simulation results proved the feasibility and the validity of the designed method.
Starting Page	1438
Ending Page	1443
File Size	469269
Page Count	6
File Format	PDF
ISBN	9781424451814
DOI	10.1109/CCDC.2010.5498216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	weighted value control Three-term control Helicopters Switches three degree-of-freedom helicopter decouple Fuzzy logic threshold switch control Fuzzy control fuzzy-PID control Automatic control Control theory Mathematical model Motion control Intelligent control
Content Type	Text
Resource Type	Article

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