Low-cost dynamic inclinometer based on improved Kalman filtering algorithm

The invention discloses a low-cost dynamic inclinometer based on an improved Kalman filtering algorithm, and relates to the technical field of inertial measurement. Comprising an operation processor, a power supply circuit for supplying energy to the operation processor, a CAN communication module in information mutual inductance with the operation processor, a downloading circuit in information mutual inductance with the operation processor, a voltage stabilizer in circuit connection with the operation processor, and a six-axis sensor in circuit connection with the operation processor. Different from a traditional scheme in which a high-precision and high-cost sensor is adopted to design a Kalman filter, the method provided by the invention reasonably utilizes angle information output by the gyroscope and the accelerometer through principle analysis of the composition of the inclinometer, so that the output precision of the inclinometer is improved, and the development cost is reduced. 本发明公开了一种基于改进卡尔曼滤波算法的低成