μPilot – Active Sensing Autopilot

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OcPoC Zynq Mini is one of the most advanced,powerful, and versatile flight controllers on the market.

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Description

The μPilot is designed with the Xilinx ZynqZ-7010 FPGA+ARM SoC which includes the ARMA9 processor and an Artix-7 FPGA. The FPGA+ARM SoC design allows for I/O flexibility and expansion as well as increased processing power. It is also equipped with two internal 9-DOF IMUs, one internal barometer, and programmable external I/Os. The I/O flexibility and processing power has allowed the OcPoC Zynq Mini the capability of triple redundant flight sensors with no change to the interface board.All these fit within a small footprint that is about the size of a credit card.With current support for PX4, Ardupilot, and ROS, the OcPoC Zynq Mini is a great solution for small autonomous vehicle developers and advanced drone manufacturers. ​It has driven many revolutionary drone applications, such as agriculture dust spray, long haul transportation, and more.

AI-Capable:​ ​FPGA and dual-core ARM processors in OcPoC Zynq Mini allow for real-time signal processing and advanced algorithm computing, enabling exciting new possibilities for artificial intelligence, deep learning, and truly autonomous and intelligent UAVs.

Flexible I/O Support:​ ​With more than 30 programmable I/Os that support most standard interfaces, OcPoC Zynq Mini is incredibly flexible and able to support a wide variety of applications.

Sensor Triple-Redundancy​: OcPoC Zynq Mini is capable of industrial-grade redundancy, ensuring the functions of the critical components such as GPS, IMU, and Magnetometer.  In addition, Aerotenna provides the necessary tools for developers to develop all levels of the flight controller including tools for FPGA and kernel development. All these tools make it easy to develop applications quickly.

Features

  • System-on-chip design with radar processor and flight controller
  • Miniaturized, compact, lightweight design with low power consumption
  • Autonomous collision-avoidance algorithm
  • Flexible configuration on either multi-rotatory or fix-wing airframes
  • Extra sensor integration and data fusion capability
  • MATLAB/Simulink interface for advanced algorithms implementation

Specifications

Xilinx Zynq Z-7010 Processor

  • 667 MHz Dual-Core ARM A9
  • Artix​®​-7 FPGA with 28K Logic Cells
  • RAM: 512MB DDR3
  • Flash: 128Mb
  • Micro-SD Card: 16GB

 

Sensors

  • IMU – MPU9250 (x2)
  • Barometer – MS5611

 

I/O

  • 16 programmable tri-pin GPIO I/Os
  • 9 programmable I/Os, and 1 CAN bus, with JST-GH connectors
  • Supported Interfaces: I2C, USB-OTG, USB-UART, SPI, CSI (for camera), GSI, and CAN
  • Micro-SD card slot for Linux booting and data logging

 

General

Power Consumption – 3W (typical)

Power Input – 4.5V – 5.5V

Size – 9.2 x 6.4 x 2.1 cm (3.6 x 2.5 x 0.8 in)