Intel Corporation

University of Washington

Xun Sun

Harish Krishnamurthy

Krishnan Ravichandran

Visvesh S Sathe

A computational current sensor, that enhances traditional Kalman filter based current observer techniques, with transient tracking enhancements and an online parasitic parameter identification that enhances overall accuracy during steady state and transient events while guaranteeing convergence. During transient operation (e.g., a voltage droop), a main filter is bypassed with estimated values calculated from a charge balance principle to enhance accuracy while tracking transient current surges of the DC-DC converter. To address the issue of dependency on a precise model parameter information and further improve accuracy, an online identification algorithm is included to track the equivalent parasitic resistance at run-time.

Computational current sensor

A control circuit includes an oscillator configured to provide, to a digital load, a clock signal having an oscillation period that (i) depends on a supply voltage and (ii) is greater than a critical path delay of the digital load. The control circuit also includes a control module configured to provide the supply voltage to the digital load and the oscillator and adjust the supply voltage based on (i) a degree of a voltage difference between the supply voltage and a reference voltage and (ii) a degree of a phase difference between the clock signal and a reference clock such that the oscillator changes the oscillation period to reduce the degree of the phase difference between the clock signal and the reference clock.

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Seattle, WA, United States of America

Xun Sun