Electronic circuit comprising an artificial neural network and method therefor
A hardware-based neural network optimizes switching converter control by determining duty cycles independently of previous cycles, addressing bandwidth limitations and component size issues, achieving efficient and stable operation.
WO2026131789A1PCT designated stage Publication Date: 2026-06-25TECHNISCHE UNIVERSITAT DRESDEN
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Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- TECHNISCHE UNIVERSITAT DRESDEN
- Filing Date
- 2025-12-16
- Publication Date
- 2026-06-25
AI Technical Summary
Technical Problem
Conventional switching converters have limited control bandwidth, leading to higher overshoot or the need for large, expensive capacitors, and are unstable at higher control bandwidths.
Method used
Implementing a hardware-based, trained artificial neural network to determine the duty cycle for switching converters, using a simulation model that replicates the external circuit's behavior to optimize control without linearized models.
Benefits of technology
Achieves a control bandwidth of 100% of the switching frequency, reducing component size and cost, eliminating electrolytic capacitors, and extending service life while maintaining efficiency and stability.
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Smart Images
Figure EP2025087324_25062026_PF_FP_ABST
Abstract
According to various aspects, an electronic circuit (100) is provided, wherein the electronic circuit (100) comprises: an input interface (104) and an output interface (106) for coupling to an external circuit (160); and a trained artificial neural network (102) designed to: receive one or more input signals (110, 112) which represent one or more operating parameters (120) of the external circuit (160) at a predefined point in time within a first cycle of a duty cycle signal; determine a duty cycle (122) to be used in a second cycle of the duty cycle signal after the first cycle; and provide an output signal (114, 116) to the external circuit (160) which represents the determined duty cycle.
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