A Non-linear Tent Map-Based ADC Design for Sensitive Condition Monitoring Measurement Systems

Hazell, Philippa; Mather, Peter; Longstaff, Andrew P.; Fletcher, Simon

doi:10.1007/978-3-030-57745-2_73

Cited by 1 publication

(2 citation statements)

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“…The discussed TM-based ADCs rely on the folded signals being amplified back to full scale, thus the TM gains must be exactly 2. When the TM gain is less than 2, the accuracy of the TM-ADCs is significantly affected [11], as illustrated in Figure 2 and Table 1, which demonstrates how a 0.5 and 5% reduction in the TM gain of such an ADC affects the accuracy. The loss in accuracy is due to a reduction in the TM gain resulting in missing or incorrect digital output codes being produced, as demonstrated in Figure 1 and Table 2.…”

Section: Introductionmentioning

confidence: 95%

“…Meanwhile, the ADC developed by Liu et al was developed to be fabricated onto silicon to enable a more precise TM gain to be produced [10]. The absolute accuracy of all TM-based ADCs is affected by two main factors: non-ideal TM gain and noise [11,12] (this paper focuses on addressing the former). The discussed TM-based ADCs rely on the folded signals being amplified back to full scale, thus the TM gains must be exactly 2.…”

Section: Introductionmentioning

confidence: 99%

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Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems

et al. 2020

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Efficient photovoltaic installations require control systems that detect small signal variations over large measurement ranges. High measurement accuracy requires data acquisition systems with high-resolution analogue-to-digital converters; however, high resolutions and operational speeds generally increase costs. Research has proven low-cost prototyping of non-linear chaotic Tent Map-based analogue-to-digital converters (which fold and amplify the input signal, emphasizing small signal variations) is feasible, but inherent non-ideal Tent Map gains reduce the output accuracy and restrict adoption within data acquisition systems. This paper demonstrates a novel compensation algorithm, developed as a digital electronic system, for non-ideal Tent Map gain, enabling high accuracy estimation of the analogue-to-digital converter analogue input signal. Approximation of the gain difference compensation values (reducing digital hardware requirements, enabling efficient real-time compensation), were also investigated via simulation. The algorithm improved the effective resolution of a 16, 20 and 24 Tent Map-stage analogue-to-digital converter model from an average of 5 to 15.5, 19.2, and 23 bits, respectively, over the Tent Map gain range of 1.9 to 1.99. The simulated digital compensation system for a seven Tent Map-stage analogue-to-digital converter enhanced the accuracy from 4 to 7 bits, confirming real-time compensation for non-ideal gain in Tent Map-based analogue-to-digital converters was achievable.

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Section: Introductionmentioning

confidence: 95%