Abstract

The control of DC servomotors used in robotics is usually carried out using conventional PI controllers that might serve their purpose well in case of absence of any parameter variation. Nevertheless, this is rarely case in practice as with any change in load the inertia moment is naturally changed resulting in much worse performance of a PI controller. The main topic of this paper is the comparison of two possible control methodologies for decreasing the parameter variation sensitivity of the whole control system : acceleration loop and fuzzy controller. It is shown that even a basic fuzzy controller with rather small number of fuzzy rules (computationally undemanding) performs very well even under conditions of extreme inertia moment variation and is capable of outperforming a conventional method of using acceleration loop.

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