A new method based on fuzzy self-adaptive PID for the galvanometer control system is presented. This method overcomes some defects of the traditional PID control, such as lower control precision and worse anti-jamming performance. At first, this paper analyzed the theory of galvanometer control system and established the mathematical model of the moving magnetic galvanometer motor. Then, the paper presented the design method of fuzzy self-adaptive PID controller in detail and using the simulation software to realize the system design. At last, the simulation results of PID control were compared with those of the Fuzzy-PID control method. The results show that the Fuzzy-PID control method has better dynamic and static performance, as well as anti-jamming performance.

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Accurate three-dimensional measurement of potholes is a significant concern in road maintenance. However, the assessment of road potholes still relies heavily on human inspectors to make maintenance suggestions. To realize full-field measurement of pavement pothole automatically, a high-precision volume measurement method based on second-order Taylor expansion is proposed, where the second-order Taylor estimation of each point is converted into a convolution operation. On the one hand, this method discards the second-order fitting of the surface, which greatly reduces the computational complexity. On the contrary, the second-order Taylor estimation is not restricted by the surface shape because it only depends on the distribution of the adjacent points. Experiments on synthesized and real point sets demonstrate that the proposed method outperforms the state-of-the-art methods under various point cloud shapes.

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