PLEASE NOTE: This one day course has been cancelled, but please contact bruce@hrs.co.nz if you wish to register your interest in this topic for future courses.
Introduction | Why Use MATLAB | Course HighlightsWho Should Attend? | About The Presenter | About MATLABCourse Details | Registration
Modern controller design is really all about modelling. If you can establish a suitable model, then the controller design becomes almost automatic. In this course on controller design, we will cover the basics of feedback control, and show how to select and configure common controllers for common, and the not so common, applications.
Controller design, like most engineering design, is an iterative process. That means ideally we desire tools that allow us to rapidly explore different structural options, different controller tuning algorithms, and the consequences of different assumptions, all with an intuitive, easy to use interface. The MATLAB and Simulink tools provide such a development environment. You can then spend more time thinking about your actual control problem as opposed to doing repetitive, tedious calculations.
The MATLAB environment integrates mathematical computing, visualisation, and a powerful technical language. Built-in interfaces let you quickly access and import data from instruments, files, external databases and programs. In addition, MATLAB lets you integrate external routines written in C, C++, Fortran, and Java with your MATLAB applications, and allows you to create compiled programs.
The first part of the course will cover: (1) Basics of feedback & control loops(2) Standard PID controllers and common industrial variations(3) PID tuning using only plant information(4) Going from model to suitable controller tuning(5) Using the controller design tools in MATLAB
We then move on to some mode advanced options, difficult to control systems, and a selection of topics from advanced control. (1) Automatic tuning of PID controllers(2) Self-tuning regulators and adaptive systems(3) Handling difficult to control systems such as pH, deadtime(4) Optimal controllers such as Model Predictive Control
• Instrumentation and Process Control Engineers• Control Technicians• Electrical and Automation Engineers• Engineering management• Energy Management Consultants
We particularly welcome you to bring along your own problems and data, and challenge the instructor to solve them.
We recommend that you attend our introductory course in MATLAB prior to this course if you have not had any experience with MATLAB.
David Wilson is an Associate Professor in the Department of Electrical & Electronic Engineering at the Auckland University of Technology. He is also a director of the Industrial Information and Control Centre, (I2C2) which is a joint collaboration with the University of Auckland involved with process control, modelling and optimisation of industrial processes.
Before joining AUT University, he was a senior lecturer in Sweden and Switzerland working with pulp and paper companies Swiss pharmaceutical companies, and government sponsored environmental projects. David’s research interests lie in model predictive control, GPS applications in the marine industry, and modelling and simulation of a wide variety of applications spanning the finance, agriculture, fishing and manufacturing industries.
David received his Ph.D. from the University of Queensland in 1990, and a BE (Chemical & Materials) from the University of Auckland.
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About MATLAB
MATLAB is widely used around the world by engineers and scientists who need to make mathematical models that guide them in their work. These models may involve simple expressions, but are more likely to involve matrix calculations, either explicitly or hidden behind easy-to-use graphical interfaces.
MATLAB is used by many professionals in NZ from diverse areas such as electronics engineering, environmental science, finance, structural engineering, electricity generation and distribution, brewing, and the dairy industry.
MATLAB is an essential tool for modelling and analysis for organisations that require a robust environment for easy application development. MATLAB is easy to learn and can provide a platform for faster development, integration and deployment. Professionals say MATLAB cuts their programming time by 90%. For more information, see www.hrs.co.nz/matlab.
We have signficantly dropped the price of this course to encourage more registrations, so please take advantage today as we may increase the price in the future.
Course Fee: Your investment is $795 + GST per person.
Early Bird Price: Register with your confirmed payment details before 1 November and pay only $695 + GST per person.
Other Courses: The other MATLAB training courses you may register for are:
Student Prices: Student pricing is available for those who are full time students and able to produce a current student ID. Please contact Bruce.
Payment: We will invoice you after the course and are happy to accept payments by MasterCard, VISA or company purchase order.
Payments will be processed after course completion, but we do require your PO# or credit card details in advance to secure your place on the course. Please supply your payment details when you register!
Cancellation: We allow cancellation at no fee until 10 days prior to the course, after that date payment is required. Course attendees can be substituted to avoid cancellation.
Course Start Time: The course starts at 9.00am and finishes around 5.00pm. Lunch will be provided on the day and pay parking is available in the vicinity. You will be sent full course details by email when you register.
In-House Training Option:
If you have several people in your organisation who need training, or if you want a specialised presentation of the methods, then contact HRS about a customised course in your own premises.
We regularly train groups of people on-site in a wide variety of industries and locations spanning from government departments, financial institutions, engineering companies, and basic research groups. We make an effort to customise the courses to suit your problems and your interests.
To register for this training course click on the registration link to the right below and fill in the form.
Alternatively, you can download the training brochure, which is a brief overview of the information on this page and has a printable registration form that you can either fax or post to us.
For more information email Bruce or phone him on 0800 477 776.
