Abstract
Can the results of task solution be improved by means of neural net φ-1 implementation? Traditional methods gives ideal solution for ideal arm link control model. Real arm link and it’s control can slightly differ from ideal model. During traditional control installation and tuning only few control parameters could be adjusted, while the function shape and direct proportionality control actions to pulse-width modulation (PWM) parameters are unalterable. Neural nets are representing transformation function in tabular form and are capable for functions form fine tuning during adjustments to real control conditions. The reported study was funded by RFBR, according to the research project No. 16-38-60201 mol_a_dk.
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Aliseychik, A., Orlov, I., Pavlovsky, V., Podoprosvetov, A., Shishova, M., & Smolin, V. (2016). Pneumatic manipulator with neural network control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9719, pp. 292–301). Springer Verlag. https://doi.org/10.1007/978-3-319-40663-3_34
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