Abstract: |
The flight control computer is an important component of the aircraft flight control system, which has a significant impact on the flight safety of the aircraft. The existing methods have significant positional and angular errors in the center coordinates and groove angles of the electric potentiometer images captured for detecting tilt angles, which cannot meet practical usage needs. A research method for adaptive detection of inclined angle aircraft electric potential meters is proposed to address the problem of significant deviation in measuring the center coordinates and groove angles of the circle using inclined angle electric potential meters. By using methods such as image preprocessing and edge detection, the center and angle information of the aircraft electric potentiometer are preliminarily obtained. A center offset correction algorithm and an angle offset correction algorithm are proposed to correct the center coordinates and groove angles of the electric potentiometer, further improving the detection accuracy of the electric potentiometer. Compared with the Homography detection algorithm, the results show that the maximum error of the algorithm for the center distance is 0.21mm, and the maximum error for the groove radian is 0ξ72 degrees. Compared with the Homography transformation method, the average error at the center of the circle is reduced by 0.09 mm, and the average error at the angle is reduced by 0.38 degrees, which meets the requirements of practical use. |