MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048948 A) filed by Mohan Babu University, Tirupati, Andhra Pradesh, on April 17, for 'ai-based adaptive pulse generation system for three-phase inverters in industrial power applications.'
Inventor(s) include Mr. A. Venkata Sai Charan; Mr. C. Sai Nitheesh; Mr. D. M. Surya Teja; Mr. G. Govindharajulu; Dr. V Arun; and Dr. G Ravindra.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence based adaptive pulse generation system for three-phase inverters used in industrial power conversion applications. The system is designed to improve inverter efficiency, reduce harmonic distortion, and enhance adaptability under dynamic load conditions.The invention incorporates an intelligent control architecture consisting of artificial neural networks and fuzzy logic controllers to dynamically generate pulse width modulation signals for inverter switching devices. Unlike traditional modulation techniques such as sinusoidal pulse width modulation, the proposed system continuously analyzes real-time system parameters including voltage variations, load behavior, and switching states to determine optimal pulse generation patterns.The inverter structure comprises a DC power source, an AI-based control module, a PWM generator, a three-phase inverter bridge, and an output filtering system. The AI controller processes feedback data from sensors monitoring system performance and adjusts switching patterns to maintain stable sinusoidal output with minimal total harmonic distortion.By integrating machine learning techniques into inverter control, the invention provides improved voltage regulation, faster dynamic response, and enhanced energy efficiency. The system is particularly suitable for applications including industrial motor drives, renewable energy systems, electric vehicles, and smart grid infrastructure."
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