| Summary: | Self-bearing machines do not contain physical bearings but magnetic bearings. Both rotor rotary and spatial positions displacement are required in these types of machines to control the rotor position while it is levitating. Self-bearing machines often use external sensors for <i>x</i> (horizontal) and <i>y</i> (vertical) spatial position measurement, which will result in additional cost, volume, complexity, and number of parts susceptible to failure. To overcome these issues, this paper proposes a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mi>y</mi></mrow></semantics></math></inline-formula>-position estimation self-sensing technique based on both main- and cross-inductance variation. The proposed method estimates <i>x</i> and <i>y</i> position based on inductive saliency between two sets of three-phase coils. The proposed idea is applied on a combined winding self-bearing machine which does not require additional suspension force winding. No additional search coil placement for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mi>y</mi></mrow></semantics></math></inline-formula>-position estimation is required. Therefore, the proposed algorithm can result in a compact size self-bearing machine that does not require external sensors for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mi>y</mi></mrow></semantics></math></inline-formula>-position measurement and suspension force winding.
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