Abstract—For the control of electric motor which drives machine tools, it is important to achieve a high precision and accuracy. In general, PID-type controllers, which are widely used for industrial machine tools, exploit a Ziegler-Nichols based tuning method. However, it is difficult to perform real-time parameter tuning to obtain good performances under various operating modes. This paper addresses the application of a self-organizing fuzzy logic controller (SOFLC) to actively deal with the real-time variation of the plant’s characteristics. SOFLCis a heuristic methodology where the control rules are generated and improved automatically according to the evaluation of the system’s behavior, and to modify the control rule based on the system performance evaluation. The simulation is performed using Matlab/Simulink and the results of a comparison study between the proposed SOFLC controller and a PID type controller are presented to explore the performance and effectiveness of the proposed algorithm.

Index Terms—Self-Organizing fuzzy logic control, PID, machine tools, motor control

Cite: Kyeong Mi Lee, Donggil Kim, and Dongik Lee, "Control of Electric Motor Machine Tools using Self-Organizing Fuzzy Logic Controller," Jounal of Automation and Control Engineering, Vol. 3, No. 6, pp. 442-446, December, 2015. doi: 10.12720/joace.3.6.442-446