The present invention discloses a high-precision fault inversion method with automatic feedback without
static error. The method comprises the following steps: setting preset
short circuit, grounding and anti-false operation fault scenarios, applying high-fidelity
voltage and current signals on the primary side through
software and hardware control, verifying the
fault analysis,
processing function and performance of the intelligent switch, and verifying the fault
processing capability of a single device. At the hardware level, the fault inversion test
system transfers the load side impedance to the source side through impedance transmission, controls the current using current feedback, drives a large current MOS tube to generate a nonlinear
voltage to drive the load loop to obtain a high-precision primary
signal through a fast-response automatic
feedback control circuit without
static error, and then obtains a high-precision measurement result by using a 2-way multi-channel high-precision synchronous sampling measurement method. At the
software level, for steady-state signals, the primary output
signal is sampled in real time, and the
voltage, current and power sources are compensated and corrected according to the load difference of the switch to be tested. For transient signals, the voltage, current and power sources are periodically calibrated and adjusted for amplitude and phase in segments according to the current output range.