Power supply detection device and test method thereof
By collecting and processing the voltage signal of the high-frequency switching power supply in a closed-loop state, generating time-correlated signal pairs and performing Fourier transform, identifying the phase angle of the Nyquist curve intersection, and generating a chaotic distortion index based on the local curvature change characteristics, the problems of measurement distortion and insufficient load dynamic reflection in the loop stability test of the high-frequency switching power supply are solved, and the accuracy and reliability of the loop stability assessment are improved.
Patent Information
- Application Number
- CN202510753553.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-06
- Publication Date
- 2025-09-26
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing loop stability test methods for high-frequency switching power supplies suffer from measurement distortion and insufficient load dynamic reflection in high-frequency operating scenarios, resulting in deviations between margin assessment results and actual operating conditions.
In the closed-loop state, the switching node voltage ripple signal of the high-frequency switching power supply is collected as the disturbance input signal, and the output voltage feedback signal is collected synchronously. The time-correlated signal pair is generated by time domain alignment and Fourier transform is performed to extract the amplitude-frequency and phase-frequency characteristics of the open-loop transfer function. The characteristics are mapped to the Nyquist plane to identify the intersection phase angle, and the chaotic distortion index is generated based on the local curvature change characteristics for correction.
This effectively avoids the phase measurement distortion introduced by traditional methods due to disconnecting the control loop, ensures that the measurement is performed under real load dynamics and complete loop characteristics, and significantly improves the accuracy and reliability of the phase margin evaluation results.