Improving time measurement precision in embedded systems with a hybrid measuring method

Teodorescu, Horia-Nicolai; Hulea, Mircea

doi:10.1109/idaacs.2011.6072711

Cited by 2 publications

(7 citation statements)

References 5 publications

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“…This hybrid method improves the time measurement precision to 8.5 1 , while the measurable time interval ranges between 10 μ and 6.5 3 [23]. The minimum time lapse of 17.2 μ between two successive measurements is due primarily to the interrupt service routine.…”

Section: Time Measuring Systemmentioning

confidence: 96%

“…To perform the time measurements, we developed a measuring system able to obtain high precision in time measurements on a wide range of time intervals [23][24][25]. The system is based on a hybrid method of time measurement and uses a microcontroller and a PC.…”

Section: Time Measuring Systemmentioning

confidence: 99%

“…The values 5 = 5 + 5 I. and 8 = 8 I. are the integrator parameters at the analog input of the microcontroller shown in Fig. 2 (a) where 5 I. and 8 I. are the sample-and-hold circuit parameters of the microcontroller [23]. All obtained @ and H values are rounded to nanosecond resolution and written in the microcontroller memory at locations addressable using byte values given by the !98.…”

Section: Time Measuring Systemmentioning

confidence: 99%

“…For a set of specified event durations, the measuring microcontroller precision and accuracy were computed over 255 repetitions of the event. The results showed that the measurement accuracy for all tested intervals is constant but has a relatively low value [23]. To improve the time measuring accuracy for evaluating the chaotic circuit behavior, the systematic error was compensated in the microcontroller software by subtracting the systematic error from each measured value.…”

Section: Time Measuring Systemmentioning

confidence: 99%

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Characterizing the attractors of chaotic systems by a direct measurement method

Teodorescu

Hulea

Cojocaru

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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Due to the high sensitivity to internal parameters, the operation of the chaotic systems may couple strongly to the ambient and are apt to detect small variations of external factors that influence the internal ones. We present details of a method and related equipment for analyzing and characterizing the behavior of chaotic systems, suited for assessing changes in the dynamics. The method essentially consists in determining the probability that the trajectory of the chaotic system is located in a specified region of the phase space. The method is based on the measurement of the time intervals spent by the trajectory in the specified phase space interval. The measuring equipment is a high precision time measuring one, based on microcontrollers. We exemplify the method by assessing the dependency of the behavior of a chaotic electronic circuit on the variation of the power supply voltage.

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Section: Time Measuring Systemmentioning

confidence: 96%

Section: Time Measuring Systemmentioning

confidence: 99%

Section: Time Measuring Systemmentioning

confidence: 99%

Section: Time Measuring Systemmentioning

confidence: 99%

See 2 more Smart Citations

Characterizing the attractors of chaotic systems by a direct measurement method

Teodorescu

Hulea

Cojocaru

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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“…The effect of both the time base error and the trigger level timing error on degrading the measurement accuracy and uncertainty is insignificant if it was compared to the effect of the internal error of the counter [3,4]. The source of the internal error of the counter is the asymmetry in the electronics; which cannot be avoided [5][6][7]. This type of error in the TIC can degrade significantly the measurement accuracy and uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A traceable time interval measurement with a reduced uncertainty

Hamza

2015

Int. J. Metrol. Qual. Eng.

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Abstract. Time interval (TI) is one of the basic quantities. Its measurement is not included only in the activities running in the time and frequency metrology but also included in the measurement of many other quantities that depend on time interval measurement (TIM). This means that improving the accuracy and reducing the measurement uncertainty of TI will reflect also on improving the accuracy and reducing the measurement uncertainty of many other quantities. To do that, we need to decrease or eliminate the effect of the dominant factors that degrade the quality of TIM. One of the major contributors to the measurement uncertainty of TI is the internal error of the time interval counter (TIC) used in the measurement. In this paper we introduce a methodology with which we can estimate precisely the internal error of the counter and eliminate its effect.

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Improving time measurement precision in embedded systems with a hybrid measuring method

Cited by 2 publications

References 5 publications

Characterizing the attractors of chaotic systems by a direct measurement method

Characterizing the attractors of chaotic systems by a direct measurement method

A traceable time interval measurement with a reduced uncertainty

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