Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
ATTINY461V-10PU

ATTINY461V-10PU

Atmel (Microchip Technology)

IC MCU 8BIT 4KB FLASH 20DIP

3666

AT89S64-3CSUM

AT89S64-3CSUM

Atmel (Microchip Technology)

MICROCONTROLLER, 8 BIT, FLASH,

132330

AT91SAM7S256C-AU

AT91SAM7S256C-AU

Atmel (Microchip Technology)

IC MCU 16/32B 256KB FLASH 64LQFP

0

ATUC64D4-AUT

ATUC64D4-AUT

Atmel (Microchip Technology)

IC MCU 32BIT 64KB FLASH 48TQFP

4000

AT89C51RB2-RLRUL

AT89C51RB2-RLRUL

Atmel (Microchip Technology)

IC MCU 8BIT 16KB FLASH 44VQFP

2294

AT91SAM7L64-CU

AT91SAM7L64-CU

Atmel (Microchip Technology)

IC MCU 16/32BIT 64KB FLSH 144BGA

6781

AT89S52-33JU

AT89S52-33JU

Atmel (Microchip Technology)

AT89S52 - MICROCONTROLLER, 8-BIT

1888

AT90PWM316-16SUR

AT90PWM316-16SUR

Atmel (Microchip Technology)

IC MCU 8BIT 16KB FLASH 32SOIC

35250

ATMEGA88-15MZ

ATMEGA88-15MZ

Atmel (Microchip Technology)

IC MCU 8BIT 8KB FLASH 32QFN

3987

AT91SAM7SE32B-CUR

AT91SAM7SE32B-CUR

Atmel (Microchip Technology)

RISC MICROCONTROLLER, 32 BIT, F

4000

ATSAM3N4CA-CU

ATSAM3N4CA-CU

Atmel (Microchip Technology)

IC MCU 32BIT 256KB FLSH 100TFBGA

4973

AT32UC3A0512-ALTRA

AT32UC3A0512-ALTRA

Atmel (Microchip Technology)

IC MCU 32BIT 512KB FLASH 144LQFP

87

AT91SAM7XC128B-CU

AT91SAM7XC128B-CU

Atmel (Microchip Technology)

IC MCU 16/32BIT 128KB 100TFBGA

1265

ATMEGA323-8PC

ATMEGA323-8PC

Atmel (Microchip Technology)

IC MCU 8BIT 32KB FLASH 40DIP

556

AT89C51ED2-RDRUM

AT89C51ED2-RDRUM

Atmel (Microchip Technology)

IC MCU 8BIT 64KB FLASH 64LQFP

60

ATTINY12V-1SI

ATTINY12V-1SI

Atmel (Microchip Technology)

IC MCU 8BIT 1KB FLASH 8SOIC

0

ATTINY261V-10MU

ATTINY261V-10MU

Atmel (Microchip Technology)

IC MCU 8BIT 2KB FLASH 32VQFN

9886

ATXMEGA64A1-C7U

ATXMEGA64A1-C7U

Atmel (Microchip Technology)

IC MCU 8/16B 64KB FLASH 100VFBGA

18587

ATSAM4LC2BA-MUR

ATSAM4LC2BA-MUR

Atmel (Microchip Technology)

IC MCU 32BIT 128KB FLASH 64QFN

4000

AT91SAM7S512-MU

AT91SAM7S512-MU

Atmel (Microchip Technology)

IC MCU 16/32BIT 512KB FLSH 64QFN

2993

Embedded - Microcontrollers

1. Overview

Embedded microcontrollers (MCUs) are compact integrated circuits designed to control specific functions in embedded systems. They combine processing cores, memory, and peripheral interfaces into a single chip, enabling efficient control in applications ranging from consumer electronics to industrial automation. Their importance lies in enabling smart, connected, and autonomous systems in modern technology ecosystems.

2. Main Types and Functional Classification

Type Functional Characteristics Application Examples
General-Purpose MCUs Balanced performance, basic peripherals (timers, UART) Home appliances, simple sensors
Low-Power MCUs Optimized for energy efficiency, sleep modes Wearable devices, IoT edge nodes
High-Performance MCUs 32/64-bit cores, DSP capabilities, high-speed interfaces Industrial automation, automotive systems
Automotive MCUs ISO 26262 certified, extended temperature range Engine control units, ADAS

3. Structure and Components

Typical microcontroller architecture includes:

  • CPU core (e.g., ARM Cortex-M, RISC-V)
  • Memory (Flash, SRAM, EEPROM)
  • Peripherals (GPIO, SPI, I2C, ADC/DAC)
  • Real-time clock (RTC)
  • Power management unit
  • Communication interfaces (CAN, Ethernet, USB)

Physical packaging ranges from 8-pin DIP to 200+ pin BGA for complex applications.

4. Key Technical Specifications

Parameter Description
Clock Speed Determines processing capability (1 MHz - 1 GHz)
Memory Size Flash (code storage) and RAM (data processing)
Power Consumption Active/current sleep mode current draw
I/O Lines Number and type of programmable GPIO
Operating Temperature Industrial (-40 C to 85 C) or automotive (-40 C to 125 C)

5. Application Areas

  • Consumer Electronics: Smart home devices, wearables
  • Industrial: Motor control, factory automation
  • Automotive: Body control modules, EV battery management
  • Medical: Portable diagnostic equipment, infusion pumps
  • IoT: Wireless sensor networks, edge AI nodes

6. Leading Manufacturers and Products

Manufacturer Headquarters Representative Products
Texas Instruments USA MSP430FR5994 (low-power sensing)
STMicroelectronics Switzerland STM32H7 (high-performance)
Microchip Technology USA PIC32MZ (32-bit general purpose)
NXP Semiconductors Netherlands Kinetis K82 (automotive-grade)
Infineon Technologies Germany Traveo S6J3 (automotive graphics)

7. Selection Recommendations

Key considerations:

  1. Match core architecture to computational needs
  2. Verify peripheral compatibility with sensors/actuators
  3. Check temperature/ruggedness ratings
  4. Evaluate software ecosystem (RTOS support, middleware)
  5. Consider long-term supply stability

Example: For a battery-powered IoT sensor node, prioritize ultra-low power MCUs like the EFR32MG21 with integrated wireless capabilities.

8. Industry Trends

  • Integration of AI acceleration (e.g., Arm Ethos-U NPU)
  • Edge computing focus with on-chip machine learning
  • Enhanced security features (TrustZone, secure boot)
  • Sub-1V operation for energy harvesting applications
  • Growth of heterogeneous multi-core MCUs
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