Lattice Automate solution stack accelerates development of industrial automation systems
12 May 2021
Lattice Semiconductor Corporation extended its portfolio of comprehensive low power FPGA-based solution stacks with the introduction of Lattice Automate.
The stack includes modular hardware development boards and software-programmable reference designs and demos that simplify and accelerate implementation of applications like robotics, scalable multi-channel motor control with predictive maintenance, and real-time industrial networking. Intelligent industrial systems made possible by Automate will play a vital role in automating future smart factories, warehouses, and commercial buildings.
According to Fortune Business Insights, the global industrial automation market is projected to reach USD 326.14 billion by 2027. Much of this growth will be driven by demand for robots, which Allied Market Research projects will grow with a CAGR of 13.5 percent between 2020 and 2027.
“Technology trends like the IoT and Edge computing are driving development of intelligent automation systems to improve efficiency and worker safety. These systems must support features like low power operation, low data latency, high availability, and real-time processing,” said Mark Hoopes, Director of Industrial Segment Marketing, Lattice. “The Automate solution stack offers a quick and easy way for developers to create industrial systems that leverage these features to support emerging technologies like predictive maintenance.”
The Automate stack offers multiple benefits for the development of popular industrial applications, including:
• Scalable Motor Control – enables development of flexible, closed loop multi-axis motor control systems capable of sensing the speed, position, and movement of each motor in an industrial machine or robot. The reference design accelerates development of the hardware and software needed to implement a flexible motor control system, including a GUI-based user interface for system monitoring and control.
• Predictive Maintenance – utilising sensing circuits, a data collector, and a single local AI/ML engine, the predictive maintenance reference design improves data privacy and minimizes machine downtime by monitoring multiple motors in a system.
• Embedded Real-time Networking – EtherConnect networking IP and reference design for implementing an extensible sense and control system for a large number of devices using a Lattice Nexus FPGA as the central controller.
• Cyber Resiliency – reference design for implementing a hardware Root-of-Trust in an industrial system that can detect, protect, and recover from a firmware-based attack in real time. Firmware security is critical as more factory devices become connected.
• Easy-to-use Software Design Methodology – the stack supports Lattice Propel v2.0, the latest version of Lattice’s embedded software design environment, for simplifying development of industrial automation systems with software/hardware co-processing using an embedded RISC-V processor.
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