The application relates to the field of micro-electro-mechanical systems, and specifically discloses a micro-
cantilever beam deformation
correction method and
system for MEMS sensor output errors, which comprises the following steps: exciting a composite vibration mode of a micro-
cantilever beam through a multi-mode active
excitation signal, collecting a dynamic response
signal and identifying a deformation
state parameter by using a
deep learning model, generating
laser micro-
processing parameters based on the identification result to perform selective
material removal or annealing treatment, establishing a deformation
trend prediction model to perform pre-compensation adjustment, and ensuring the correction effect through a closed-loop
verification mechanism; the
system comprises a multi-mode active excitation control module, a dynamic response collection and
processing module, a deformation identification and state evaluation module, a
laser micro-
processing control module, a deformation
trend prediction and pre-compensation module, a correction effect
verification and iterative control module, and a
system integration and
data management module. The application solves the problem of sensor errors caused by physical deformation of a micro-
cantilever beam, and significantly improves the precision and long-term stability of a MEMS sensor.