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Name: M2GL025TS-VF400I
Brand: Microchip Technology
SKU: M2GL025TS-VF400I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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Microchip Technology M2GL025TS-VF400I

Part No.:: M2GL025TS-VF400I

Manufacturer:: Microchip Technology

Package:: 400-LFBGA

Datasheet:: M2GL025TS-VF400I.pdf

Description:: IC FPGA 207 I/O 400VFBGA

In Stock:: 2833

Quantity:: Add To Cart

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M2GL025TS-VF400I Specifications

Package/Case:
400-LFBGA
Packaging:
Tray
Series:
IGLOO2
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
27696
TotalRAMBits:
1130496
NumberofI/O:
207
NumberofGates:
-
Voltage-Supply:
1.14V ~ 2.625V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

M2GL025TS-VF400I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M2GL025TS-VF400I price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for M2GL025TS-VF400I to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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M2GL025TS-VF400I information

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M2GL025TS-VF400I application case analysis in emerging technology fields

M2GL025TS-VF400I is a powerful field-programmable gate array (FPGA) module designed for high-performance computing and embedded applications. It integrates a Xilinx Zynq-7000 series system-on-chip (SoC) with programmable logic and ARM Cortex-A9 dual-core processor.

Application Scenario:

In autonomous robotics, M2GL025TS-VF400I can be utilized to enable real-time decision-making and sensor fusion for navigation and obstacle avoidance systems.

System Architecture:

To develop an autonomous navigation system using M2GL025TS-VF400I, consider the following architecture:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, cameras, and ultrasonic sensors, to capture environmental data. Connect these sensors to the programmable logic of M2GL025TS-VF400I for real-time data processing.

2. Data Fusion:

Implement algorithms for sensor fusion to combine data from different sensors and generate a comprehensive understanding of the robot's surroundings. Utilize the processing capabilities of the ARM Cortex-A9 cores for complex fusion algorithms.

3. Decision Making:

Develop decision-making algorithms based on the fused sensor data to plan optimal navigation paths and avoid obstacles. Leverage the programmable logic of M2GL025TS-VF400I for high-speed parallel processing of navigation algorithms.

4. Motor Control:

Interface with motor control systems to actuate the robot's movement based on the navigation decisions. Utilize GPIO pins and peripheral interfaces of M2GL025TS-VF400I for motor control signals.

5. Communication:

Implement communication interfaces, such as Ethernet or CAN bus, for external communication with other robots or a central control system. Configure the relevant interfaces of M2GL025TS-VF400I for seamless data exchange.

Considerations:

When designing the autonomous navigation system, it's essential to consider:

- Real-Time Processing: Utilize the parallel processing capabilities of the FPGA fabric for real-time sensor data fusion and decision-making.

- Power Efficiency: Optimize the system design to minimize power consumption and extend the operating time of the autonomous robot.

- Fault Tolerance: Implement robust error detection and recovery mechanisms to ensure the reliability of the navigation system in unpredictable environments.

- Environmental Sensing: Integrate environmental sensors to detect and adapt to changing conditions, such as lighting variations and terrain obstacles.

- Scalability: Design the system architecture to allow for future expansions and upgrades, such as adding more sensors or integrating advanced algorithms for improved navigation capabilities.

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3. Are the M2GL025TS-VF400I price and inventory displayed accurate?

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6. What is the process for return or replacement of M2GL025TS-VF400I?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the M2GL025TS-VF400I we delivered, we will accept the replacement or return of the M2GL025TS-VF400I only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

(2)We are informed of the defect described above within 90 days after the delivery of M2GL025TS-VF400I.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations