Posts Tagged ‘ALVEO’

Main Characteristics

This is the second article of a series, which aim is a feasibility study for a modular system composed of the main control board based on Xilinx ZYNQ Ultrascale+ and servo satellite motor drives based on Xilinx ZYNQ-7000. The objective of the system is to control a robot composed of multiple joints. The article’s target is an automation of a prostate biopsy to assist doctors during medical procedures. The biopsy is executed by driving one mechanical positioner composed of 6 Permanent Magnet Synchronous Motors (PMSM) motors and multiple joints

Introduction

Welcome to part 2 of the previous article about PWM signals and PYNQ! In this article, we will show what is a servo motor and how to control a servo motor with the previous design of the PWM on the PYNQ framework, with a simple “recipe”. If you have missed the previous article, you can find it here!

So, let’s start!

What is a Servo Motor

A Servo Motor is a rotary actuator or linear actuator that allows for precise control of angular or linear position, velocity, and acceleration. Servomotors are used in applications such as

Pynq is a famous framework that allows programmers to directly work with FPGA using Python language, which is very intuitive, so let’s take a look at it.

When we want to accelerate a specific software portion, it is generally difficult to interface to it correctly, because you have to synchronize the CPU (generally referred to as Process System, PS) to the FPGA part (generally referred to as Programmable Logic, PL). In modern SoCs, we use the “axi” interface to make the two parts communicate, but its Hardware Description Language (HDL) implementation

Introduction

DNNDK allows the productivity in deploying AI inference on Xilinx platforms. In fact, it provides a solution for deep neural network applications. So, in this article we will present the DNNDK tool for the FPGA integration of Deep Neural Network and Convolutional Neural Network.

Artificial Neural Networks

Artificial neural networks (ANN) or connectionist systems are computing systems similar to biological neural networks likes animal brains. In particular, such systems “learn” to perform tasks by considering examples, generally without being programmed with task-specific rules. At this point, you can get it to learn things, recognize

https://www.linkedin.com/pulse/digital-twin-xilinx-alveo-vitis-sps-trade-show-giulio-corradi-1f/

After 30 years of SPS IPC Drives, the trade show changed the name into SPS – smart production solutions reflecting the digital transformation that occurs in automation technology.

Digital Twin (DT) in relation to Cyber-Physical-Systems (CPS) are among the main themes of this digital transformation anticipated by the Industry 4.0 initiative.

According to DirectIndustry e-magazine interview to Sylke Schulz-Metzner, Vice President SPS Mesago Messe Frankfurt GmbH, “digital twins is sure to play a large role this year and in the future at SPS…In the future, it will be as difficult to imagine the world