【无人机控制】四旋翼无人机纵向动力学频域灰盒辨识的 MATLAB_Simulink 项目，传感器噪声灵敏度分析和蒙特卡罗不确定性量化

✅作者简介热爱科研的Matlab仿真开发者擅长毕业设计辅导、数学建模、数据处理、算法改进、程序设计科研仿真。完整代码获取 定制创新 论文复现私信个人信条做科研博学之、审问之、慎思之、明辨之、笃行之是为博学慎思明辨笃行。1. 相关介绍本项目遵循航空航天系统辨识的标准研究框架围绕频域灰盒建模、噪声灵敏度量化、蒙特卡洛不确定性统计三个核心任务展开对应 Marco Lovera 航空航天辨识课程的典型项目范式。Task 1基于仿真数据的纵向动力学频域灰盒辨识1.1 灰盒模型结构物理先验 待辨识参数针对悬停 / 小速度前飞工况基于小扰动线性化假设推导纵向平面x-z 平面状态空间模型模型结构由牛顿 - 欧拉力学定律确定白盒先验气动导数与等效阻尼系数作为未知参数通过数据辨识灰盒特性。2. 运行效果展示3. 部分代码呈现%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% QUADROTOR PARAMETERS - Controller %%% Adapted to ANT-X 2DoF by Salvatore Meraglia (salvatore.meragliapolimi.it) %% Date: 22/12/2022 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Normalized mixerKt 0.25;Kq 0.25;b 2;mixer [ -1/(4*Kt), -2^(1/2)/(4*Kt*b), 2^(1/2)/(4*Kt*b), 1/(4*Kq);-1/(4*Kt), 2^(1/2)/(4*Kt*b), -2^(1/2)/(4*Kt*b), 1/(4*Kq);-1/(4*Kt), 2^(1/2)/(4*Kt*b), 2^(1/2)/(4*Kt*b), -1/(4*Kq);-1/(4*Kt), -2^(1/2)/(4*Kt*b), -2^(1/2)/(4*Kt*b), -1/(4*Kq)];%% Angular rate controller%qKF_Q 0.0;KP_Q 0.09;KI_Q 0.21;KD_Q 0.0016;M_MAX 1;M_MIN -1;N_filter_rate 100;sample_time 1/250;%% Attitude controller%thetaKP_PITCH 12;Q_MAX 10; % 10 [rad/s] ~ 600 deg/sQ_MIN -10;%% Velocity controllerKF_X_DOT 0.0;KP_X_DOT 0.5;KI_X_DOT 0.04;KD_X_DOT 0;F_X_MIN -1;F_X_MAX 1;N_filter_vel 10;%% Position controllerKP_X 2;% velocity setpoint saturationVEL_MIN -10;VEL_MAX 10;%% Baseline thrust (normalized)BASELINE_T 0.4;4. 参考文献更多免费数学建模和仿真教程关注领取如果觉得内容不错那就请分享和点个“在看”呗