Integrated Smart Sensors: Design and CalibrationSpringer Science & Business Media, 1997. gada 31. dec. - 202 lappuses 1 1. 1 Introduction The (signal processing and storage) capacity ofthe human brain enables us to become powerful autonomous beings, but only if our brains operate in conjunction with (at least some of) our senses and muscles. Using these organs, we can interact with our environment, learn to adapt, and improve important aspects of our life. Similarly, the signal processing capabilities of modern electronics (computers) could be combined with electronic sensors and actuators to enable interaction with, and adaptation to, the (non-electrical) environment. This willlead to smarter and more powerful automated tools and machines. To facilitate and stimulate such a development, easy-to-use low-cost sensors are needed. The combination of electronic interface functions and a sensor in an integrated smart sensor, that provides a standard, digital, and bus-compatible output, would simplify the connection of sensors to standard electronic signal processors (microcontrollers, computers, etc. ). Currently, the calibration procedure, required for standardization of the sensor output signal level, contributes largely to the production costs of accurate sensors. To enable automation of the calibration procedure, and hence reduce the sensor fabrication costs, a digital calibrationjunction should be included in the smart sensor. INTEGRATED SMART SENSORS: Design and Calibration Introduction 1. 2 Sensors and actuators In industry many processes are electronically controlled. As depicted in Fig. |
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Citi izdevumi - Skatīt visu
Integrated Smart Sensors: Design and Calibration Gert van der Horn,Johan Huijsing Ierobežota priekšskatīšana - 2012 |
Integrated Smart Sensors: Design and Calibration Gert van der Horn,Johan Huijsing Priekšskatījums nav pieejams - 2012 |
Bieži izmantoti vārdi un frāzes
amplifier analog circuit analog signal Analog-to-Digital converter baseband bitstream output bitstream signal bus interface bus master calculated calibration circuit calibration coefficients calibration function calibration measurements calibration points calibration step configuration cross-sensitivity current signals desired transfer digital output Digital-to-Analog Converters electronic equation error curve frequency gain correction h₁(x implementation input current instrumentation amplifier integrated smart sensor interpolation IV-converter J.H. Huijsing laser-trimmed linearity error microcontroller multiplier noise shaping noise-shape nonlinearity normalized number of calibration obtained offset and gain output current output value output voltage oversampling physical input signal polynomial calibration method pressure sensor PTAT quantization noise ratio realize reference signal resistors self-calibration sensor calibration sensor interface sensor output signal sensor signal sensor transfer curve sensor transfer function Sensors and Actuators shown in Fig sigma-delta AD-converter sigma-delta converter sigma-delta modulator signal processing silicon smart temperature sensor switches temperature coefficient transistors VI-converter voltage voltage signal y₁ zero