The application discloses a permanent
magnet electric drive aluminum strip tension leveling
machine process parameter optimization method and
system, and belongs to the technical field of
metal material finishing. The method comprises the following steps:
system initialization is performed, and a
coupling mathematical model between process parameters and
electromagnetic drive control variables is established; based on the established model, a hierarchical strategy including process parameter pre-selection, drive parameter multi-objective optimization and online fine adjustment is adopted, and an optimal process parameter set is dynamically solved; heat compensation is performed on the current instruction output by the optimization according to the real-time temperature of the
permanent magnet motor, so as to offset the torque attenuation caused by temperature rise; and case data of each successful tension leveling is stored in a
knowledge base, so that online self-learning and inheritance of experience are realized. The application solves the problems of straightening quality fluctuation,
high energy consumption and short service life of components caused by mismatching of the permanent
magnet direct drive
system and traditional process parameters, and significantly improves the elongation control precision, surface quality and energy efficiency.