發(fā)現(xiàn)與高精度A/D轉(zhuǎn)換單片機(jī)

　　越來(lái)越多的嵌入式系統(tǒng)基于采集各種傳感器的測(cè)量數(shù)據(jù)，典型的應(yīng)用包括醫(yī)療、智能電網(wǎng)、能量控制以及工業(yè)控制系統(tǒng)。因此，對(duì)精密A/D轉(zhuǎn)換的需求日益增長(zhǎng)。大多數(shù)微控制器來(lái)與A/D轉(zhuǎn)換器，但他們通常是10或12位轉(zhuǎn)換器，通常有4或5比特錯(cuò)誤（計(jì)數(shù)）–使他們有效的8 -或9位轉(zhuǎn)換器。

　　換句話說(shuō)，8的1位的錯(cuò)誤大約是0.4%。不太壞，真的嗎？。對(duì)于一個(gè)真正的8位分辨率，我通常計(jì)算為1%，或者稍微少一點(diǎn)——分解一些參考電壓隨時(shí)間和溫度的漂移。然而，如果你需要更精確，可能更多，你必須仔細(xì)尋找一個(gè)能滿足這種需求的MCU。更重要的是，讓我們說(shuō)你需要真正的12位精度（0.025%）；現(xiàn)在你必須非常努力地看。你能在MCU中用A/D來(lái)達(dá)到那種精度嗎？或者你必須使用離散A/D芯片？

　　To answer that question you must first study manufacturer’s datasheets very closely， as they tend to express accuracy in different ways. The two types of MCU A/D’s are Successive Approximation （SAR） and Sigma-Delta （Σ-Δ）。 Generally speaking the latter is slower and more accurate – usually with 16- or 24-bit resolution. The 16-bit versions of a Sigma-Delta A/D are usually viable for about 13-bits and the 24-bit for about 16.

　　SAR A/D suppliers usually give accuracy in terms of integral non-linearity （INL）， offset， and gain errors. The latter two can usually be removed with some sort of calibration （Mx+b） technique. INL is the real accuracy term and it is usually given in bits and is therefore very easy to use. As an example， for a 12-bit A/D an INL of ±0.8 bits typ.， ±1.5 bits maximum is very good and fairly common – but beware that many 12-bit A/Ds have INL of ±4 bits so they are really 8-bit converters.