2results about How to "Improve output waveform" patented technology

This invention discloses a variable-wave arc welding power supply control method, arc welding equipment, control device, and storage medium. Applied to an arc welding equipment, the equipment includes a coordination control module and at least two power conversion modules. The coordination control module is connected to the controlled terminals of each power conversion module to control the switching of the power conversion modules to form and output pulse power. The output terminals of each power conversion module are connected in parallel to superimpose the electrical energy of the arc welding power supply. The variable-wave arc welding power supply control method includes: the coordination control module outputting its corresponding control commands to each power conversion module; and each power conversion module adjusting the pulse width and on / off timing of the pulse power according to the control commands to increase the power or voltage amplitude of the arc welding power supply. This design optimizes the output waveform of the welding power supply, enabling it to provide excellent dynamic characteristics and improve welding performance.

This invention discloses a condition monitoring and control system for a permanent magnet motor driven by an oil drilling rig, relating to the field of permanent magnet motor condition monitoring technology. It includes a data acquisition and construction module, a data preprocessing and feature extraction module, a dynamic monitoring and trend analysis module, a deep learning evaluation module, and a fuzzy control and real-time compensation module. The data acquisition and construction module first acquires real-time operating data of the inverter during operation through data acquisition equipment. The acquired real-time data is stored in a time-series format, and a dataset is established to provide complete and accurate basic data for subsequent analysis and model evaluation. This invention improves the stability, reliability, and energy efficiency of the permanent magnet motor driven by the oil drilling rig through real-time data acquisition, deep learning evaluation, fuzzy control optimization, and error compensation, adaptively adjusting the dead time, reducing short-circuit risk, energy loss, and harmonic damage, optimizing system performance, and improving operating efficiency.