MMA7660：低功耗3轴加速度传感器，I2C接口与应用特性

MMA7660

需积分: 25 31 浏览量更新于2024-07-18 收藏 562KB PDF 举报

身份认证购VIP最低享 7 折!

30元优惠券

资源详情

资源推荐

Sensors

7 Freescale Semiconductor, Inc.

MMA7660FC

Figure 3. Simplified Accelerometer Functional Block Diagram

ELECTRO STATIC DISCHARGE (ESD)

WARNING: This device is sensitive to electrostatic discharge.

Although the Freescale accelerometer contains internal 2000 V ESD protection circuitry, extra precaution must be taken by

the user to protect the chip from ESD. A charge of over 2000 V can accumulate on the human body or associated test equipment.

A charge of this magnitude can alter the performance or cause failure of the chip. When handling the accelerometer, proper ESD

precautions should be followed to avoid exposing the device to discharges which may be detrimental to its performance.

Table 2. Maximum Ratings

(Maximum ratings are the limits to which the device can be exposed without causing permanent damage.)

Rating Symbol Value Unit

Maximum Acceleration (all axes, 100 μs) g

max

10,000 g

Analog Supply Voltage AV

-0.3 to +3.6 V

Digital I/O pins Supply Voltage DV

DD_IO

-0.3 to +3.6 V

Drop Test D

drop

1.8 m

Storage Temperature Range T

stg

-40 to +125 °C

Table 3. ESD And Latch-up Protection Characteristics

Rating Symbol Value Unit

Human Body Model HBM ±2000 V

Machine Model MM ±200 V

Charge Device Model CDM ±500 V

Latch-up current at T

= 85°C ±100 mA

AVDD

DVDD

VSS

X-axis

Transducer

Y-axis

Transducer

Z-axis

Transducer

MUX

CONTROL LOGIC

INT

C-to-V

CONVERTER

AMP

ADC

SDA

SCL

OFFSET

TRIM

GAIN

TRIM

INTERNAL

OSC

CLOCK

GEN

Sensors

Freescale Semiconductor, Inc. 8

MMA7660FC

Notes

1. These parameters are tested in production at final test.

2. Assuming VDD power on slope is < 1 ms.

3. A measure of the devices ability to reject an acceleration applied 90° from the true axis of sensitivity.

4. Noise is defined as quantiles given to a sample size. These are the occurrences of noise: 94% = ±1 count, 5% = ±2 counts, and 1% = ±3

counts.

Table 4. Operating Characteristics

Unless otherwise noted: -40°C < T

< 85°C, 2.4 V < AV

< 3.6 V, 1.71 V < DV

< 3.6 V, Acceleration = 0g

Typical values are at AV

= 2.8 V, DV

= 2.8 V, T

= +25°C

Characteristics Symbol Min Typ Max Unit

Analog Supply Voltage

Standby/Operation Mode AV

2.4 2.8 3.6 V

Enable Bus Modeon Mode AV

0 V

Digital I/O Pins Supply Voltage

Standby/Operation Mode DV

DD_IO

1.71 2.8 AV

Enable Bus Modeon Mode DV

DD_IO

1.71 1.8 3.6 V

Supply Current Drain

Off Mode I

0.4 µA

Power Down Mode I

2 µA

Standby Mode

(1)

0 2 10 µA

Active Mode, ODR = 1 I

47 µA

Active Mode, ODR = 2 I

49 µA

Active Mode, ODR = 4 I

54 µA

Active Mode, ODR = 8 I

66 µA

Active Mode, ODR = 16 I

89 µA

Active Mode, ODR = 32 I

133 µA

Active Mode, ODR = 64 I

221 µA

Active Mode

(1)

, ODR = 120 I

294 µA

Acceleration Range ±1.5 g

Operating Temperature Range T

-40 25 85 °C

0g Output Signal (T

= 25°C, AV

= 2.8 V)

0g Offset ±1.5g range

(1)

OFF

-3 0 3 counts

0g Offset Temperature Variation

-1.3

+1.5

-1.0

mg/°C

Sensitivity

(1)

= 25°C, AV

= 2.8 V)

±1.5g range 6-bit 21.33 count/g

Acceleration Sensitivity at T

AMB

19.62 21.33 23.04 count/g

Acceleration Sensitivity Temperature Variation ±0.01 %/°C

Input High Voltage V

0.7 x D

VDD

Input Low Voltage V

0.35 x D

VDD

Output Low Voltage (IOL = 6 mA + SDA, INT) V

0.5 V

Input Leakage Current I

, I

0.025 µA

Internal Clock Frequency

(1)

= 25°C, AV

= 2.8 V)

CLK

135 150 165 kHz

C Interface Speed

400 kHz

Control Timing

Turn on time from AV

= 0 V to AV

= 2.5 V

(2)

1.3 ms

Turn off time from Active to Standby Mode 1 ms

Turn on time Standby to Active Mode 12 ms + 1/ODR ms

Timing Clock Source Accuracy (T

= 25°C, DV

= 1.8 V) -10 10 %

Timing Clock Source Temperature Variation -15 15 %

Cross Axis Sensitivity

(3)

±1 %

Noise

(4)

±1 count

剩余35页未读，继续阅读

稻草人V587

粉丝: 6
资源: 9

MMA7660：低功耗3轴加速度传感器，I2C接口与应用特性

MMA7660在STM32上的C程序

MMA7660FC数据手册

3轴加速度传感器 MMA7660FC.pdf

rk3399配置mma7660

rk3399在设备树配置mma7660

topopt-mma-python-master_mma_mma-python_pythontopopt

mma均衡算法matlab

arduino 驱动mma845x

mma8452 msp430 代码

mma中matlab程序

MMA8452连接STM32

3d拓扑优化+mma

深度学习矩阵乘法mma

MMA8451Q传感器

mma求解程序matlab

拓扑优化mma与oc对比

mma7631传感器计算公式

MMA配置hive数据源

mma代码 csdn

最新资源