This invention discloses a
DC motor speed control identification method and
system based on an improved quasi-Newton method, belonging to the technical field of
DC motor speed control system modeling. First, a time-varying nonlinear
DC motor speed control system is constructed, and an identification model of this
system is obtained. Then, an identification method flow based on the quasi-Newton method under step-size
line search is constructed. The optimal step size is obtained through step-size
line search for parameter
estimation, and a correction strategy is designed to ensure the positive definiteness of the approximation of the Hessian
matrix inverse. This invention avoids the oscillation or
slow convergence problems caused by a fixed step size by dynamically adjusting the step-
size factor, and simultaneously introduces a correction strategy to forcibly guarantee the positive definiteness of the approximation of the Hessian
matrix inverse, thereby obtaining more accurate
motor model parameters.