Subspace Model Identification Methods for Identifying the Small-scale Unmanned Helicopter Dynamics

2007 ◽  
Author(s):  
Wenbing Chen ◽  
Ming Liu ◽  
Yunjian Ge
Keyword(s):  
Model Identification ◽  
Small Scale ◽  
Unmanned Helicopter ◽  
Identification Methods

scholarly journals Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Ma ◽  
Li Ding ◽  
Kailei Liu ◽  
Hongtao Wu
Keyword(s):  
Model Identification ◽  
Wind Tunnel Test ◽  
Integrated Approach ◽  
Dynamical Model ◽  
Small Scale ◽  
Unmanned Helicopter ◽  
Bee Colony ◽  
Chaotic Operator ◽  
Dynamical Parameters ◽  
Search Speed

This article presents an integrated approach for the parameter identification of a small-scale unmanned helicopter. With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is proposed to obtain the unknown dynamical parameters of the linear model. The proposed algorithm is valid to use thanks to an adaptive search equation, a novel probability-scaling method, and a chaotic operator and has a good performance in search speed and quality. Afterwards, we design a wind tunnel test to modify the main rotor time constant of the identified model. The identified accuracy and feasibility of the proposed approach are verified by making a time-domain comparison with three other algorithms. Results show that the dynamical characteristics of the helicopter can be determined accurately by the identified model. And the proposed approach is propitious to enhance the reliability and availability of the identified dynamical model.

Flight Control System Design and Autonomous Flight Control of Small-Scale Unmanned Helicopter Based on Nanosensors

2021 ◽  
Vol 16 (4) ◽  
pp. 675-688
Author(s):  
Xinfan Yin ◽  
Xianmin Peng ◽  
Guichuan Zhang ◽  
Binghui Che ◽  
Chang Wang
Keyword(s):  
Control System ◽  
Flight Control ◽  
Control Algorithm ◽  
Installation Space ◽  
Small Scale ◽  
Unmanned Helicopter ◽  
Flight Control System ◽  
Autonomous Flight ◽  
Position Controller ◽  
Attitude Controller

Due to the limitation of the size and power, micro unmanned aerial vehicle (MUAV) usually has a small load capacity. Aiming at the problems of limited installation space and easy being interfered in flight attitude measurement of the small-scale unmanned helicopter (SUH), a low-cost and lightweight flight control system of the SUH based on ARM Cortex-M4 core microcontroller and Micro-Electro-Mechanical Systems (MEMS) sensors is developed in this paper. On this basis, in order to realize the autonomous flight control of SUH, firstly, the mathematical model of the SUH is given by using the Newton-Euler formulation. Secondly, a cascade flight controller consisting of the attitude controller and the position controller is developed based on linear active disturbance rejection control (LADRC) and proportional-integral-derivative (PID) control. Furthermore, simulations are conducted to validate the performance of the attitude controller and the position controller in MATLAB/SIMULINK simulation environment. Finally, based on the Align T-REX 470L SUH experimental platform, the hovering experiment and the route flight experiment are also carried out to validate the performance of the designed flight control system hardware and the proposed control algorithm. The results show that the flight control system designed in this paper has high reliability and strong anti-interference ability, and the control algorithm can effectively and reliably realize the attitude stabilization control and route control of the SUH, with high control accuracy and small error.

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