Real-Time Rapid Control Prototyping of Industrial Systems using xPC Target (1.2 CEUs)

Course Code: ELEC026

Daily Schedule:
8:00am - Registration and coffee (1st day only)
8:30am - Session begins
4:30pm - Adjournment
Breakfast, two refreshment breaks and lunch are provided daily.

Introduction

Rapid Control Prototyping or RCP is a process which lets the engineer quickly test and iterate their control strategies on a real-time computer with real input/output devices.
Rapid control prototyping (RCP) is now the typical method used by engineers to develop and test their control strategies.

Rapid control prototyping exploded onto the US automotive market in the mid-1990s. It was a welcome solution for managing the increasing complexity of the control engineer's task. Rapid control prototyping is now the typical method used by engineers to develop and test their control strategies. Rapid control prototyping was first used for developing power-train control strategies. The simple reason is that is where the software was in the engine control and transmission control unit. It has since been adopted industry wide in applications such as anti-lock braking, anti-roll, vehicle stability, active cruise control, and torque distribution.

Rapid control prototyping is growing in other industries as well. The aerospace industry is second in size and is growing in the application of this technology. Applications such as Full Authority Digital Electronic Controller (FADEC) strategy development for jet engines, active braking systems, flight control systems, navigation systems, Un-manned Aerial Vehicles (UAVs), and tracking systems. Rapid control prototyping is also used in medical device development and in industrial automation applications such as servo-control. Low cost rapid control prototyping systems are being used as teaching tools in most university graduate-level courses in classical and modern control theory.

xPC Target™ enables you to execute Simulink® and Stateflow® models on a target computer for rapid control prototyping, hardware-in-the-loop (HIL) simulation, and other real-time testing applications. It provides a library of drivers, a real-time kernel, and a host-target interface for real-time monitoring, parameter tuning, and data logging.

Key Features

Real-time execution of Simulink and Stateflow models on a target computer via an optimized real-time kernel
Support for target computer hardware, including PMC, PCI, PCIe, cPCI, and PC104 form factors
Support for numerous I/O modules, including analog I/O, digital I/O, pulse train generation and capture, and shared memory
Support for communication protocols and data buses, including serial, UDP/IP, CAN, J1939, ARINC 429, and MIL-STD-1553
Tools for real-time monitoring, parameter tuning, and data logging
Standalone operation using xPC Target Embedded Option

Objectives
This two-day course focuses on rapid prototyping and HIL using xPC TARGET for distinct disciplines. The course will cover real time control concept, applications and importance of rapid prototyping, xPC Target tool box, overview of D/A, A/D, DIO and DAQ cards, architecture of xPC Target, a review on net configuration, execute code and interact with real time process, and a practical application.

Pre-requisites
A basic working knowledge of process control and applications is useful, but is not essential.

Target Audience
This workshop is designed to be accessible to all those involved in test systems, rapid prototyping, and HIL system technology in diverse aspects of industry, from electrical, control, communication, oil and gas to medical systems.

This includes (but is not limited to) engineers, researchers and technicians involved with:

Control and instrumentation
Oil and gas
Electrical engineering
Process control
SCADA and telemetry systems
Research, design and development of test systems
Process development
Control systems
Biomedical systems
Electromechanical system
Mechatronics
Construction engineer
Monitoring

Program Outline (1.2 CEUs / 12 PDHs)

Day 1

Introduction

Real time control
Rapid prototype control
HIL control
Applications in distinctive industries

Review on:

Matlab
Simulink
TCP/IP
D/A, A/D, DI/O
DAQ cards

Case study (motor control)

Matlab and Simulink modeling
PID Controller design

xPC Target

The Architecture of xPC Target
Generate real time code and download to computer
Execute code and interact with real time process
Setting up xPC Target
Setup compiler
Test your xPC setup

Day 2

Create Simulink Model

Encoder Details
D/A Details
PD Controller Details
Configure for Compile (1-runtime)
Configure for Compile (2-compile)
Configure for Compile (3-data log)
Compile and Download
Execute via GUI
Monitor Signals via GUI
Data Logging via GUI
Execute via Command Line
Data Logging via Command Line
Parameter Tuning via Command Line
Execute and Parameter Tuning via Simulink
Execute in standalone mode
Execute via web server

Case study (motor control, encoder, driver)

Hardware selection
Simulation
PID Controller design
Simultaneous simulation and implementation
Parameter Tuning via Command Line
Execute and Parameter Tuning via Simulink

After Attending This Course You Will Be Able To:

Understand the concept of rapid prototyping, real-time, HIL of the system
Recognize the requirement I/O DAQs for specific application
Design a sampling program using Simulink and MATLAB
Understand Host and target computer and different approaches for their connection (TCP/IP, serial,..)
Design a real time program using Simuling run in external mode
Monitoring, data logging and control a real plant using xPC Target

Instructor
Iraj Hassanzadeh, Ph.D. is visiting professor with the Department of Electrical & Computer Engineering at the University of Alberta, Edmonton, working on haptics and teleoperation control using Phantom haptic devices. He has been working as a Postdoctoral fellow in Mechatronics and Robotics fields at Ryerson University, Toronto, Canada for almost two years.

During this period, he has been involved in several NSERC projects including visual servoing, Puma 560 retrofitting, tele-hapto visual operation and identification of Gerdau Steel plant's furnace using Neuro-Fuzzy. He is a technical consultant of Yonarpolad and NIGC companies. He served as a head of Control Engineering Department for two years. He established a robotics lab in the University and has published more than 60 technical papers in the field. He is a member of IEEE and serves as a member of program committee of several international conferences. Currently, he has given about ten short courses on "Simulink, Matlab", and "Real Time Design and Implementation" and they are very well received by practitioners.

TLNT reserves the right to cancel or change the date or location of its events. TLNT's responsibility will, under no circumstances, exceed the amount of the fee collected. TLNT is not responsible for the purchase of non-refundable travel arrangements or accommodations or the cancellation/change fees associated with cancelling them. Please call to confirm that the course is running before confirming travel arrangements and accommodations. Please click here for complete policies.

We could offer any of our courses at a location of your choice and customized contents according to your needs, please contact us at: [email protected] or click here to submit an online request.