| Abstract |
This paper presents an extended robust disturbance observer for improved force ripple compensation of a permanent magnet synchronous linear motor. In extension, working from the output of the robust disturbance observer, the amplitudes of dominant harmonics are estimated by means of a harmonicactivated neural network. With the knowledge of the amplitude, the phase shift of an individual harmonic resulting from the robust disturbance observer can be corrected. This method improves the cogging force compensation by feedforward, especially when the frequency of the force ripple increases due to higher travelling speeds. |
