Abstract
Stepping motors are widely used in robotics and in the numerical control of machine tools where they have to perform high-precision positioning operations. However, the variations of the mechanical configuration of the drive, which are common to these two applications, can lead to a loss of synchronism for high stepping rates. Moreover, the classical open-loop speed control is weak and a closed-loop control becomes necessary. In this paper, fuzzy logic is applied to control the speed of a stepping motor drive with feedback. A neuro-fuzzy hybrid approach is used to design the fuzzy rule base of the intelligent system for control. In particular, we used the ANFIS methodology to build a Sugeno fuzzy model for controlling the stepping motor drive. An advanced test bed is used in order to evaluate the tracking properties and the robustness capacities of the fuzzy logic controller.
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We would like to thank the Research Grant Committee of Consejo Nacional del Sistema de Educacion Tecnologica (COSNET) and Consejo Nacional de Ciencia y Tecnologia (CONACYT) for the financial support for performing this research work. We would also like to thank the Department of Computer Science of Tijuana Institute of Technology for the time and resources given to this project.
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Melin, P., Castillo, O. Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy approach. Soft Computing 8, 546–555 (2004). https://doi.org/10.1007/s00500-003-0313-z
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DOI: https://doi.org/10.1007/s00500-003-0313-z