摘要
Time moments have been introduced in automatic control because of the analogy between the impulse response of a linear system and a probability function. Pasek described a testing procedure for determining the DC parameters from the current response to a step in the armature voltage motor. In this paper, two identification algorithms developed based on the moments and Pasek's methods are introduced and applied to the parameter identification of a DC motor. The simulation and experimental results are presented and compared, showing that the moments method makes the model closer to reality, especially in a transient regime.
Time moments have been introduced in automatic control because of the analogy between the impulse response of a linear system and a probability function, Pasek described a testing procedure for determining the DC parameters from the current response to a step in the armature voltage motor, In this paper, two identification algorithms developed based on the moments and Pasek's methods are introduced and applied to the parameter identification of a DC motor, The simulation and experimental results are presented and compared, showing that the moments method makes the model closer to reality, especially in a transient regime.