Abstract
Position control applications like robotic arms, CNC machines, and so on, can perform better with the use of 2 phase AC servo motor. The exceptionally nonlinear attributes of this motor have presented issues for its high accuracy in position control. In addition, a periodic motion makes a control system lose its function due to accumulating errors with an increasing number of periods. Although the servo tracking efficiency is good, but it declines periodic time varying signals. So for the better operations of the AC servo motor in the position control, a Fuzzy Adaptive Intelligent Controller (FAIC) is attempted to enhance the periodic reference tracking. The experimental study is conducted with AC servo motor system as shown in Fig. 1 for the identification of the process dynamics. Simulation results obtained to authenticate the proposed controller delivered good tracking performance than the Conventional fuzzy controller and conventional PD controller. For periodic reference tracking, the proposed controller exhibits a minimum Absolute Tracking Error (ATE) profile is the least with FAIC when compared to other controllers. The authors have also tested the robustness of the control strategy.KeywordsPDATEFuzzy Adaptive Intelligent ControllerAC servo motor
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