Multivariable PID Neural Network based flight control system for small-scale unmanned helicopter

Qi, Guangping; Song, Ping; Li, Kejie

doi:10.1109/icinfa.2009.5205123

2009 International Conference on Information and Automation 2009

DOI: 10.1109/icinfa.2009.5205123

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Multivariable PID Neural Network based flight control system for small-scale unmanned helicopter

Guangping Qi

Ping Song

Kejie Li

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2016

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Nonlinear Dynamics Modeling and Control Simulation of a Model Helicopter

董¹

2016

MOS

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Model helicopter is a nonlinear, multi variable and under actuated system, and it is easy to be disturbed by wind and other external factors. Closed-loop Controller is used to ensure the stability of the system. First, the emphasis and difficulty is the establishment of the model helicopter dynamics equations, which includes the engine rotor dynamics, flapping dynamics and frame dynamics. Then, the closed-loop PID controller is introduced in the system to achieve the stability of the system and to eliminate the error caused by the disturbance. Last, the Simulink simulation module is established to simulate. The results show that the closed loop control system based on the dynamic equation has good performance and stability.

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Nonlinear Dynamics Modeling and Control Simulation of a Model Helicopter

董¹

2016

MOS

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Multivariable PID Neural Network based flight control system for small-scale unmanned helicopter

Cited by 1 publication

References 9 publications

Nonlinear Dynamics Modeling and Control Simulation of a Model Helicopter

Nonlinear Dynamics Modeling and Control Simulation of a Model Helicopter

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