2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) 2012
DOI: 10.1109/isda.2012.6416612
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Devising Simulink Optical Encoder Pulse Manipulation and its Evaluation

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Cited by 3 publications
(5 citation statements)
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“…Angular velocity estimates of HDL as well as Simulink model [1] have been compared with the actual velocity is furnished in Table I. Over the range from low angular velocity towards high, RTL Model exhibited more accuracy.…”
Section: Resultsmentioning
confidence: 99%
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“…Angular velocity estimates of HDL as well as Simulink model [1] have been compared with the actual velocity is furnished in Table I. Over the range from low angular velocity towards high, RTL Model exhibited more accuracy.…”
Section: Resultsmentioning
confidence: 99%
“…The first block in the figure 1 attempts to mathematically model incremental encoder in MATLAB Simulink® [1] such that when numerical angular values of displacement, resolution and velocity are provided, it should produce two output pulse trains that are quadrature in nature i.e., the model is expected to be a replica of the physical incremental encoder. The two generated pulse trains are then utilized to realize the velocity evaluation core in MATLAB Simulink® resulting in a software model for velocity evaluation [1].…”
Section: Iidesign Methodologymentioning
confidence: 99%
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“…The objectives of the present research are to determine the behavior of a nonideal encoder and analytically model it. Although synchronized pulse counting eliminates quantization error [8,9], the nonidealities of the incremental encoder can cause fluctuations of the measured speed in steady state conditions [10]. One of the most common nonidealities of the incremental encoder is misalignment and discrepancy of the gap intervals on the encoder's disk due to mechanical errors.…”
Section: Introductionmentioning
confidence: 99%