2results about How to "With anti-interference ability" patented technology

The application relates to a method for tracking a main AUV from an AUV based on a sliding mode adaptive control, which decouples the motion of the AUV into horizontal plane motion and longitudinal plane motion, simultaneously considers the influence of non-constant interference and sea current during the motion of the AUV, designs a control law through a sliding mode adaptive control method, and estimates the sea current velocity on line, so as to guide the AUV to the tail of a target AUV to perform distance tracking. Finally, through tracking simulation of linear motion and curve motion of the target AUV respectively, the feasibility of the AUV long-distance guiding and tracking method is verified. Through adaptive control, the influence of parameter error on the stability of the system is eliminated, the sliding mode adaptive control method can estimate the sea current velocity, the system has certain anti-interference ability, and the robustness of the system is also indicated.

A method, system, product, and medium for defect detection of precision parts are disclosed, relating to the field of intelligent sensors. The aim is to address the difficulty in distinguishing between unstructured surface attachments and actual geometric damage in related 3D vision solutions. The method involves controlling a robotic arm to drive multi-source sensors to collaboratively acquire two-dimensional texture data and initial three-dimensional point cloud data, and automatically supplementing missing areas to generate complete three-dimensional point cloud data. Subsequently, two-dimensional feature vectors containing local texture information and three-dimensional feature vectors containing spatial geometric information are extracted and fused to generate a target fused feature vector possessing both texture and geometric attributes. Finally, the feature distance between this vector and a normal sample feature library is calculated as the deviation to determine the defect. This application utilizes semantic mutual verification of multimodal features to reduce the false alarm rate in complex scenarios, achieving high-precision and interference-resistant detection of subtle defects in precision parts.