A Neural Network Method for Miniature Unmanned Helicopter Heading Control

Abstract:

A neural network control method for heading control of miniature unmanned helicopter is proposed. For the complexity of miniature helicopter aerodynamics, it is difficult to identify the unknown parameters of yaw dynamics model. To design heading controller of miniature helicopter without modelling yaw dynamics, BP neural network is designed as heading controller, which is trained by collected flight data. By training, the neural network controller can learn the artificial operation strategy and realize the heading control of miniature unmanned helicopter. Simulation results demonstrate the validity of the proposed neural network control method.

• Periodical: Advanced Materials Research (Volumes 468-471)
• Pages: 93-96
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.468-471.93
• Online since: February 2012
• Authors: Meng Bai, Min Hua Li
• Keywords: Heading Control, Miniature Unmanned Helicopter, Neural Network (NN), Yaw Dynamics

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