A Hybrid Technique for Frequency Domain Identification of Servo System With Friction Force
The system identification process in servo system with frictional force seems to be a complex task because of its non-linear nature. For such non-linear systems, a good choice is system identification in frequency domain. However, most of the techniques are manual and are inappropriate for determination of system parameters. This makes system identification ineffective for servo systems with frictional force. To overcome this issue, a hybrid technique is proposed in this paper. The proposed technique exploits neural network and genetic algorithm to determine the system parameters of servo systems with friction. In the proposed technique, the target parameters are determined from the transfer function derived for the system.