搜索资源列表
Modle-of-quadrotor
- matlab simulink四旋翼模型，输入为四个电机的电压值，输出为对应的姿态角以及姿态角速度和三个方向的线加速度-Four rotor model, the input voltage is four value of the motor, the output is the corresponding attitude angle and attitude angular velocity and direction of three linear acceleration
matlab-Attitude-adjustment
- matlab编写的四旋翼姿态调整模拟器，可用于上位机。-matlab prepared four-rotor attitude adjustment simulator can be used to host computer.
quadcopter
- matlab四旋翼建模仿真,基本电机，螺旋桨等模型的建立。-Quadrotor matlab modeling and simulation, the establishment of basic motor, propeller model.
Quad_for_matlab
- 四旋翼的MATLAB仿真程序，有动力模型- Quadrotor MATLAB simulation program, dynamic model
$RE9HDTO
- 利用MATLAB实现多旋翼无人机的多机编队仿真，包括三维模型绘制，pid参数计算，利用GUI实现人机交互界面，实时显示各架飞机的状态。(Using MATLAB to achieve multi-rotor UAV multi-aircraft formation simulation, including three-dimensional model rendering, pid parameter calculation, the use of GUI to achieve human-c
model
- 本程序可以仿真四旋翼飞行器的飞行，可以设计飞行器控制律，完整的，可以使用，环境是MATLAB(This program can simulate the flight of the four rotor aircraft, you can design aircraft control law, complete, you can use, the environment is MATLAB)
quadcopter_simulator_in_matlab-master
- 四旋翼仿真，啦啦啦啦啦绿绿绿啦啦啦啦啦啦啦啦啦啦啦啦绿绿绿(Four rotor simulation)
四旋翼模型
- 四旋翼无人机MATLAB S函数仿真 程序代码(Code of MATLAB S Function Simulation Program for Four-Rotor Unmanned Aerial Vehicle)
gaodu
- 四旋翼无人机是一种具有六个自由度和四个输入的欠驱动强耦合、外型新颖结构简单的飞行器。由于其具有制造成本地、重量轻、体积小、操作简单、使用方便、隐身性好、对作战环境要求低的特点，使其能准确、高效的执行各种军事或民用任务，因此四旋翼无人机具有一定的军事和民用价值。本课题针对四旋翼无人机的特点和飞行原理，对其动力学分析以及运动控制的研究，利用牛顿—欧拉方程，建立了四旋翼无人机的动力学模型,并针对该模型设计了PID四通道控制系统,且在Matlab/Simulink仿真平台上,利用PID控制系统对四旋翼无
四旋翼飞行器模型
- matlab四旋翼无人机仿真程序，运行scr ipt2即可，在界面中给出位置即可。(Matlab four rotor UAV simulation program, running scr ipt2 can be, given the position in the interface can be.)
lab1
- 无人机模型建模仿真，可通过此仿真模型实现，四旋翼无人机的模型建立(Modeling and Simulation of UAV model can be realized by this simulation model, and the model of Four-rotor UAV can be established.)
四旋翼无人机PD控制仿真程序
- 基于MATLAB的四旋翼无人机PD轨迹跟踪算法，能较好地实现轨迹跟踪(PD trajectory tracking algorithm of four rotor UAV Based on Matlab can achieve better trajectory tracking)