Lqr controller

8 boards

KiCad boards from 3 GitHub repositories tagged “lqr-controller”, the most starred first; open any of them in PCBKit.

4 layers95 × 50 mm
Control board
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
129 parts58AGPL-3.0
2 layers139.7 × 114.3 mm
Self balancing robot
K0nradG/self-balancing-robot
Self-balancing robot powered by nRF52840 and Zephyr RTOS, with BLE control, OTA updates, and a Raspberry Pi camera interface designed for future autonomous navigation.
36 parts4Apache-2.0
2 layers90.7 × 55.4 mm
H bridge V3
ambadran/Revolute_Joint
Optimal Cheap Robotic Actuator allowing high Torque and moderate Speed. Allow PRECISE Absolute, Speed and Torque Control. Using 3D-printed Cycloidal Drive, Custom PCB and LQR Control Algorithm.
57 parts
2 layers17.6 × 19.1 mm
Geomagnetometer
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
20 parts58AGPL-3.0
2 layers50 × 50 mm
Power board
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
88 parts58AGPL-3.0
4 layers30 × 40 mm
Bldc driver
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
71 parts58AGPL-3.0
2 layers36.5 × 25.9 mm
Uart tt pc
ZhuYanzhen1/MM32_CLion
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
15 parts58AGPL-3.0
2 layers
AS5600
ambadran/Revolute_Joint
Optimal Cheap Robotic Actuator allowing high Torque and moderate Speed. Allow PRECISE Absolute, Speed and Torque Control. Using 3D-printed Cycloidal Drive, Custom PCB and LQR Control Algorithm.
12 parts