The invention discloses a method for optimizing a space
cam through a genetic-gold washing
algorithm, and the method comprises the steps: determining the original parameters of a
cam, and constructing a segmented follower
displacement function through the combination of a general polynomial and a composite curve; verifying the continuity of the displacement, the speed and the acceleration at the key connection position; establishing an optimization model which takes minimization of the maximum acceleration as a target and contains angle constraint; a genetic-gold washing fusion
algorithm is constructed, parents are selected in a specific mode,
crossover variation is executed, and operations such as migration and functional area analysis of a gold washing
algorithm are combined; a Kalman filtering
processing algorithm result matrix is adopted, and a final result is obtained through priori and posteriori
estimation and weighted fusion. According to the method, global search and local optimization capabilities are considered, local optimization is avoided, smooth linkage of displacement curves is ensured,
system vibration
noise is reduced, the operation precision of a
cam mechanism is improved, the service life of the cam mechanism is prolonged, and a reliable scheme is provided for efficient optimization design of the space cam.