Frequency Domain Identification of Servo System with Friction Force Using Abc and Ann Technique

Normally, most of the mechanical devices arrive with unnecessary nonlinearities. In servo system, the frequency domain system identification method is very difficult because of the presence of unnecessary nonlinearities. In the paper, hybrid technique is proposed for the frequency domain identification of servo system. The proposed hybrid technique is the combination of artificial neural network (ANN) and ABC algorithm. By using artificial network, the system parameters are produced at various mass levels, which are formed as a dataset. The ABC algorithm is used to optimize the system parameters from the dataset, which are pole, constant, DC gain and friction force etc. These optimized system parameters are given to the system and friction of the system is analyzed. The proposed method is implemented in MATLAB platform and the deviation performances are estimated. Moreover, the system parameters recognized by proposed method (ABC-ANN) is compared with actual system, hybrid technique, adaptive hybrid technique and PSO-ANN technique.