The course will present real-world applications of control methods for energy processes and power plants. Practical considerations will be made on selecting the best control architecture and including modifications to improve control response.
- 2.5 credits
- Study location: Online
- Start Date: 2020-08-31 - 2020-10-11 (part-time 33%)
- Education ordinance: Second cycle
- Course code: ERA315
- Main area: Energy Engineering
About this course
Be in control of your energy! How is the operation of a power plant controlled? Energy plants run in autopilot. Designing the control systems that form the “autopilot” is not only critical to ensure safety, but also to operate the plant efficiently, reducing the emissions and increasing the economic revenues.
This course will deal with real-world applications of control systems and with all the practical aspects that need to be considered before hitting the “start button” and running the plant. You will learn how to make the controller faster, more robust, and closer to the desired response for different applications.
The course is perfect for you who are studying your Master or Ph.D. program, but also for you who are working and wish to develop yourself in the topic of control. The suggested pace is 30% (60 learning hours over 5 weeks) but a flexible pace is possible. You can also take the course on measurement techniques in fluid flow and heat transfer in parallel, which will help you understand how the sensors used to control the process actually work!
You will learn
- Describe the influence of sensors and data acquisition on control of energy processes and apply different methods to include them in the control design.
- Apply state-of-practice control techniques to improve the response of a traditional PID controller.
- Compare different control types and structures, and motivate the selection of the most suitable for a specific process.
- Design and test a control system in a simulation environment.
- 120 credits of which 90 credits engineering or natural science and 7,5 credits mathematics.
- In addition English course A/English course 6 is required.
You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies, etc.
Course title in Swedish
Tillämpning av industriell processtyrning
After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.
More information about how to apply can be found on our website.
To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.
No academic qualifications?
If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies, etc. This is also known as a validation of prior learning.
Recognition of prior learning means the mapping out and the assessment of an individual's competence and qualifications, regardless of how, where, or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.
If you think your knowledge and competences will qualify you for this course, you will need to upload the following with your application:
- CV with a description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
- If you refer to work experience, you need to upload an Employers certificate.
If we need more information, we will contact you.
This course is free of charge for citizens of the EU, EEA, and Switzerland.
This course is part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.
This course is developed together with national and international companies where the companies contribute with their expertise and experience. The collaboration ensures that the course content is relevant for both professionals and students heading for work positions.
This online course is module-based, without physical lessons and flexible in time, which is attractive to students and professionals who live in countries in a different time zone.
About the School
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