The present application relates to the technical fields of intelligent manufacturing and
automation control, and discloses a kind of intelligent regulation and control methods for the wall thickness of
crucible spin pressing in piezoelectric
single crystal growth, comprising: collecting data in the process of spin pressing, and obtaining stable acquisition sequence by preprocessing;Stable acquisition sequence is fused by adaptive weighted fusion and Kalman filtering, and the fused wall thickness is obtained by fusing the
laser thickness value and the wall thickness value and compensation value respectively mapped by the spin pressing force, torque and eccentricity;Calculate the comprehensive
deviation vector of wall thickness deviation, local wall thickness
thinning rate, eccentricity deviation and
roundness error;Based on the comprehensive
deviation vector and the wall thickness deviation, the
fuzzy adaptive PID output correction value and the hierarchical threshold comparison are executed in parallel to generate pass jump and trajectory reconstruction instructions, and the closed-loop cooperative control is formed by issuing the
numerical control spin pressing
system;After each pass is completed, the wall thickness distribution is obtained by fusion and solution, and the deviation is determined to add compensation pass or trajectory reconstruction, and iteration is carried out until the requirements are met.The present application realizes the online intelligent closed-loop regulation and control of the wall thickness of
crucible spin pressing.