This project aims to use the myRIO embedded device with programming development software, LabVIEW, for the education of automatic control in association with the course Control Engineering (Reglerteknik) in Uppsala University.  The myRIO is a portable reconfigurable I/O (RIO) device developed by National Instruments for students to use for designing control, signal processing, robotics, and mechatronics systems. It contains a Xilinx FPGA and a dual-core ARM Cortex-A9 micro-controller that can be programmed with LabVIEW (Laboratory Virtual Instrument Engineering Workbench).  The control system that the project is concerned with is to control a model elevator which, available for the project, is a cabinet driven by a DC motor up and down along two steel poles. It is a representative control system, containing all possible components of a feedback control system, i.e., controlled process, actuator, controller, sensor. The elevator (the controlled process) has three floors with pre-specified heights. The height is determined by an ultrasonic sensor (for feedback). The motor (the actuator) is controlled by a PID (proportional-integral-derivative) controller.  The specifications for the control system implemented are given beforehand, in particular, the parameters related to system performance such as stability, responsiveness and accuracy (or residual error), as well as real time display of operating information.  The motor driver (a H-bridge circuit) for the motor and the circuit for the information have been built. The myRIO is used to implement the PID controller, handle the set point specifying floor number, manage the sensor measurements. The whole elevator control system has been implemented and tested. The test results show that the control system works well and fulfills the given specifications. Further work on improvements for the project is suggested. The myRIO is shown to be an excellent device well suited for the education of control engineering.

This thesis focuses on BLDC motor control algorithms with model based design approach. Models and control algorithms were programmed in LabView, the NI MyRIO was used as a hardware platform. For hall-sensor feedback controlled application an already finished power inverter was used from a Honeywell rotary actuator. For sensor-less motor control an indirect sensing of BEMF signal is applied using motor phase current measurement. The time-critical parts of the algorithms are programmed for FPGA, the non-time-critical parts are programmed for LabView Real-Time module.

This diploma thesis deals with the possibility of vibration sensing and vibrodiagnostics based on the use of so-called "SMART" materials such as piezoelectric layers or structures. Research studies have examined the general overview of vibrodiagnostic methods and their analysis of the possibility of sensing vibration by piezoelectric structures. This was followed by measuring and evaluating the results using various vibro-diagnostic methods. The results were compared with those obtained by sensing vibration using an accelerometer. We also dealt with the problem of detecting the deformation of the device by sensing vibration with piezoelectric structures. The last part was programming the "Myrio" to capture and evaluate the vibration using Labview.

The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. The voice control is implemented in two differentsystems. The first system is based on an Amazon Echo Dot for voice recognition, which is acommercial smart speaker developed by Amazon Lab126. The Echo Dot devices are connectedvia the Internet to the voice-controlled intelligent personal assistant service known as Alexa(developed by Amazon), which is capable of voice interaction, music playback, and controllingsmart devices for home automation. This system in the present thesis project is more focusingon myRIO used for the wireless control of smart home devices, where smart lamps, sensors,speakers and a LCD-display was implemented. The other system is more focusing on myRIO for speech recognition and was built on myRIOwith a microphone connected. The speech recognition was implemented using mel frequencycepstral coefficients and dynamic time warping. A few commands could be recognized, includinga wake word ”Bosse” as well as other four commands for controlling the colors of a smart lamp. The thesis project is shown to be successful, having demonstrated that the implementation ofhome automation using the NI myRIO with two voice-controlled systems can correctly controlhome devices such as smart lamps, sensors, speakers and a LCD-display.

An Inverted double pendulum is a combination of two individual pendulums which represents an example of a nonlinear and unstable dynamic system and it is also a good example of a physical system which can exhibit chaotic behavior.This document contains a first analysis of the model and the control of this system. Also presented is the installation of the electrical materials needed to control the system contain instrumenting the motor, current measurement system, motor shaft angle sensor, vision systemand MYRIO which is an embedded hardware device created by National Instruments will be used for data acquisition and control the system