The application discloses a multi-gear posture
memory control method and
system for an electric sofa, which comprises five core steps of initial posture calibration and multi-gear division, multi-user independent posture parameter memory, user
identity recognition and automatic switching, closed-loop high-precision posture restoration and intelligent learning optimization of use habits; the
system comprises a main control module, a posture acquisition module, a multi-channel driving module, a multi-user storage module, a man-
machine interaction module, a user recognition module and an intelligent learning module. Through multi-gear scene division, multi-user independent memory, closed-loop PID control and intelligent learning
algorithm, the application solves the core problems of single posture memory, low restoration precision, inconvenience for multiple users and lack of adaptive ability of the existing electric sofa, can support multiple custom posture gears and multiple user independent memory spaces, has high posture restoration precision, greatly improves use experience and intelligent level, and is widely applicable to the
intelligent control requirements of various electric functional sofas.