Interpolation parameter tuning for parametric curve paths using learning automata method

This study focuses on the development of an interpolation parameter tuning method for parametric curve paths in motion control systems. It is usually difficult to design the interpolation parameter of an interpolation algorithm using systematic approaches because some factors, such as mechanical factors and manufacturing factors, can significantly affect the motions of the applied motion plant in real applications. Therefore, in this study, the learning automata tuning method, which operates through interactions with unknown environments, was used to tune the interpolation parameter. Some simulation and motion tests were performed on a die bonder machine to test the proposed approach, and the experimental results show that the learning automata tuning method allows the applied motion control system to achieve a good trade-off between motion accuracy and motion time.