Research on Servo Turning Table Control Method Based on Optimal Fuzzy Reasoning and Disturbance Observer

In this paper, a novel servo turning table control method based on optimal fuzzy reasoning and disturbance observer (DOB) was studied. Optimal fuzzy reasoning contains thought of optimization and feedback, and a fuzzy-PID controller using optimal fuzzy reasoning can make the reasoning process more reasonable and enhance the robustness to some extent. However, when a large external disturbance exists or the parameters of plant change largely, the accuracy of the control system will be influenced. The DOB can compensate the disturbance torque including friction torque and has great effect on improvement of accuracy. To improve the accuracy of the control system, DOB was added into the control structure. Meanwhile, fuzzy controller also enhances the robustness and dynamic performance of the DOB. Simulation results for a servo turning table system showed the effectiveness of the control method.