The　operation　process　of　the　Bistable　permanent　magnet　circuit　breaker　(PMCB)　is　a　highly　nonlinear　and　fast　time-varying　system,　so　it＇s　difficult　to　accurately　observe　the　dynamic　displacement,　and　the　addition　of　displacement　sensors　has　defects　such　as　difficulty　in　installation,　high　cost　and　poor　reliability.　Aiming　at　this　problem,　this　article　proposes　a　real-time　displacement　observation　method　without　sensors　for　bistable　PMCB.　First,　through　magnetic　circuit　analysis　and　numerical　simulation,　it　is　proved　that　there　exists　a　one-to-one　mapping　relationship　between　the　state　composed　of　four　elements　of　the　bistable　permanent　magnet　mechanism＇s　breaking　and　closing　coil　currents,　the　flux　linkage　of　the　breaking　and　closing　coils,　and　the　displacement　of　the　movable　iron　core;　after　that,　an　artificial　neural　network　(ANN)　is　introduced　to　fit　the　nonlinear　mapping　relationship,　and　rewritten　into　the　embedded　form,　to　complete　the　design　of　the　real-time　observer　of　the　bistable　PMCB＇s　displacement.　Finally,　the　theoretical　and　practical　effectiveness　of　the　real-time　observer　is　verified　by　co-simulation　and　rapid　control　prototype　verification.　The　displacement　real-time　observer　constructed　in　this　article　can　provide　real-time　feedback　signals　for　the　subsequent　velocity　closed-loop　control,　displacement　tracking　control　or　synchronized　breaking　and　closing　control　of　the　circuit　breaker　without　the　displacement　sensor,　which　sets　the　stage　for　the　high-performance　sensorless　control　of　permanent　magnet　switch.