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- Title
Bionic Intelligent Algorithms Used in Helicopter Individual Blade Control Optimization.
- Authors
Gao, Yadong; Huang, Dawei; Yu, Xinyu; Zhang, Huaqin
- Abstract
Featured Application: Bionic intelligent algorithms demonstrate higher efficiency and accuracy compared with traditional control methods when solving the complex nonlinear system problems encountered in the research of dynamics. Bionic intelligent algorithms have great application prospects in the field of aeroelasticity dynamic control. Bionic algorithms are established by imitating human neural structures and animal social behaviors. As an important part of bionic technology, bionic algorithms are often used to solve the control problems of complex nonlinear systems, such as the rotor aeroelasticity dynamics model used in the helicopter individual blade control (IBC) optimization process. Two control methods based on bionic intelligent algorithms are introduced, respectively. The first method is to combine the fuzzy neural network and the classical PID control together. Compared with traditional PID control, the combined one was able to adjust the PID control parameters automatically by using the learning ability of the fuzzy neural network. The second method is to directly search the optimal control parameters by using the particle swarm algorithm. Both two methods demonstrate higher efficiency and accuracy; according to the results obtained by the algorithms, the vibration level was 80% less than without the applied high order harmonics. This indicates great application prospects for bionic intelligent algorithms in solving complex nonlinear system problems.
- Subjects
HELICOPTERS; FUZZY neural networks; ROTORS (Helicopters); ANIMAL social behavior; BIONICS; PARTICLE swarm optimization; NONLINEAR systems; ALGORITHMS
- Publication
Applied Sciences (2076-3417), 2022, Vol 12, Issue 9, pN.PAG
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app12094392