Parameter Identification of DC Motor based on Compound Least Square Method
Meidong Li, Yanjiao Ma
Abstract
For forgetting factor least square identification results are prone to volatility of faults, by introducing selection control, this paper proposes a composite method of least square motor parameter identification, when the motor parameters change, using the composite method of least squares, the real-time identification of dc motor parameters could be faster, more accurate and more stable. The simulation results show that the hybrid least square parameter identifier overcomes the fluctuation phenomenon of the identification results of the forgetting factor least square parameter identifier, and its identification speed is faster, the accuracy is higher, the stability is better, and the motor parameters can be identified online well at different speeds of the dc motor.