Laser　tracking　and　servo　control　is　essential　for　the　laser　tracker　to　accurately　measure　coordinates　and　trajectories　of　dynamic　targets　in　the　space.　It　has　demanding　requirements　for　tracking　performance　of　the　servo　system　in　terms　of　dynamic　response　properties,　controlling　accuracy　and　stability.　The　currently　used　servo　controlling　system　in　the　laser　tracker　usually　adopts　the　traditional　proportional,　integral　and　differential　(PID)　controlling　methods　While　measuring　the　dynamic　coordinates,　the　target　lens　move　randomly　in　a　greatly　dynamic　way;　the　system＇s　tracking　speed　faces　a　delay　in　adapting　to　it,　resulting　in　frequent　miss　or　loss　of　the　target.　Based　on　the　requirements　of　the　laser　tracing　and　servo　system　to　quickly　track　targets　moving　in　a　very　random　and　dynamic　manner,　this　paper　studies　the　controlling　properties　of　the　laser　tracking　servo　system　and　the　modelling　of　the　controlled　objects,　proposing　a　hybrid　controlling　structure　and　method　which　incorporates　multi-loop　feedback　control　as　well　as　fuzzy　prediction　and　control-based　correction.　The　deviation　signal　of　the　photoelectric　location　is　extracted　and　fuzzified.　Fuzzy　rules　and　controlling　strategies　are　formulated.　A　fuzzy　adaptive　PID　tracking　control　algorithm　is　also　presented.　A　platform　for　testing　the　servo　tracking　system　is　constructed.　The　proposed　controlling　strategies　and　algorithms　are　applied　to　the　single-axis　laser　tracking　and　rapid　prototype　tracking　tests.　Test　results　show　that　the　angular　acceleration　of　the　dynamic　tracking　servo　exceeds　200　degrees/s(2),　proving　great　improvements　in　the　system＇s　random　dynamic　tracking　performance　and　stability.　(C)　2016　Elsevier　GmbH.　All　rights　reserved.