3 results about "Fuzzy self tuning" patented technology

The application discloses an industrial label printing self-adaptive optimization method based on multi-dimensional defect quantification. The method realizes intelligent management and control of label printing quality through task data preparation, image acquisition and parallel diagnosis, defect quantification and shunt decision, quality trend analysis and self-adaptive tuning, and predictive maintenance warning. The core of the method is to construct a defect severity index quantification model, combine the improved YOLOv8 algorithm to realize accurate classification and root diagnosis of defects, and realize real-time fine tuning of printing parameters through a fuzzy PID self-tuning tuning engine, and match a cache level real-time bit-level check to ensure data accuracy. The application breaks through the limitations of traditional passive detection, realizes active optimization and predictive maintenance, greatly improves production efficiency and reduces the rate of defective products, ensures stable label printing quality and accurate data, and is suitable for high-speed industrial label printing scenes.

This invention belongs to the field of power system technology and discloses a method and system for managing three-phase voltage imbalance in low-voltage distribution areas through a combination of composite commutation and active compensation. The method includes: acquiring and preprocessing three-phase voltage and current signals of the distribution area; tracking the grid phase and frequency through a phase-locked loop to generate discrete sampling steps; extracting the negative-sequence voltage component and calculating the imbalance index, then smoothing and anti-jittering to generate a management demand signal; calculating a reference value for the negative-sequence compensation current based on the negative-sequence voltage component and the equivalent negative-sequence impedance of the distribution area; using the error between the reference value and the actual negative-sequence current as input, employing a composite control strategy of fuzzy self-tuning PI and adaptive repetitive control in parallel to generate modulation commands to drive the parallel compensation device to inject negative-sequence current; and executing commutation scheduling when triggering conditions are met. This invention, through the coordinated management of commutation and active compensation, reduces the capacity occupancy of the compensation device and improves the tracking accuracy of the negative-sequence current and the adaptability to the grid frequency.

This invention relates to an intelligent control system for an electromagnetic wave water processor, belonging to the field of water treatment technology. It includes a multi-parameter detection module, an electromagnetic wave generation module, a frequency sweep optimization module, a fuzzy self-tuning control module, and a mode-coordinated controller. The multi-parameter detection module collects water temperature, conductivity, pH value, and flow velocity in real time; the frequency sweep optimization module scans and determines the optimal operating frequency for the current water quality; the fuzzy self-tuning control module generates frequency adjustment amounts based on real-time changes in water quality parameters for closed-loop regulation; and the mode-coordinated controller realizes a dynamic coordinated closed loop of frequency sweeping, tracking, and re-sweeping. This invention, through deep coordination of frequency sweep optimization and fuzzy self-tuning control, combined with pre-compensation and adaptive frequency sweeping stepping, has the advantages of strong water quality adaptability, stable treatment effect, and optimized energy consumption.