Control Engineering

Duration

8 weeks
Commitment

7-9 hours per week
Price

US$2,095
Study mode

Tutor guided
Certificate of Achievement

Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion. InstMC Approved Training.

- Start
  17 April 2023
- Finish
  12 June 2023
- Enrol by
  11 April 2023

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Discover more about this course from the expert(s) behind it

Course overview

Participants will learn to identify opportunities for feedback and control in their professional context and develop the skills needed to effectively use Matlab and Simulink to analyse and design control systems. They will look at performance specifications and theoretical limits on what can be achieved, as well as discuss sensors and actuators.

Although much of the course will centre on the basic workhorse control algorithm known as Proportional-Integral-Derivative (PID) control, participants will also go beyond PID control to explore 'loop shaping' and multivariable control, as well as some standard algorithms, including state feedback, linear-quadratic optimal control, state observers and Kalman filters.

Relevant examples will be drawn from a range of applications to give context to conceptual information and participants will be encouraged to apply their learning to their own work through discussions and project work.

What will I learn?

On this course, participants will learn to:

recognise needs and opportunities for control in their engineering projects or products
assess which control method and technology is most appropriate to their project or product
design and analyse a control solution
select and use appropriate software tools, including simulation software, to test, validate and iterate their control solutions.

Who is this course for?

This course is aimed at the following roles in industry:

professional engineers faced with a control engineering problem who need to enhance their knowledge of the field
managers who have control engineers working for them and who wish to better understand their job role
individuals wanting to broaden their skill set to enhance their career opportunities.

What will I get on completion?

Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion. InstMC Approved Training.

Requirements

Level of knowledge

educated to degree level in a field of engineering
an understanding of differential equations, complex numbers, and vector and matrix algebra.

Materials & equipment

access to Matlab and Simulink is required and this will be provided to learners for the duration of the course
sufficient internet speed and stability for video streaming (2 Mbps up/down)
please see our recommendations on web browsers (Opens in a new window)

What our learners are saying

I have acquired a great deal of knowledge on how control systems work, from conceptual ideas to being able to see the maths and functions behind the scenes of today's advanced software solutions.

The academic support provided during the whole course exceeded my expectations. I was amazed by the anecdotes shared and the discussion around control systems.

The academic support provided during the whole course exceeded my expectations. I was amazed by the...

I loved learning about the different aspects of what control theory encompasses and the way engineering implements it, especially those areas beyond my direct experience. I could now see in hindsight some of the work I had done in industry and feel better equipped at tackling other types of designs.

I loved learning about the different aspects of what control theory encompasses and the way engineer...

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