This course will develop your expertise in the principles, methodologies, and application for the design of advanced control systems for industrial applications, by using the state of art simulation tool.
At a glance
- Please enquire for course dates
- DurationFive days
- LocationCranfield campus
- Cost£1,700 Concessions available
Course structureThe five day course includes lectures and hands-on Matlab sessions. All delegates will receive a Certificate of Attendance at the end of the course.
What you will learn
On completion of the course, you will be able to:
- Evaluate and select appropriate modelling techniques for dynamic systems,
- Formulate control methodologies in feedback, feedforward and cascade loops,
- Recognise and critically appraise the key design tools and procedures for continuous and discrete controllers of dynamic systems.
- System dynamics: Modelling of typical physical systems. Operating point. Linearization. Differential equation representation. State space representation of systems. Laplace transforms. Transfer functions. Block diagrams. SISO and MIMO systems. Time and frequency domain responses of systems,
- Feedback control: Positive and negative feedback. Stability. Methods for stability analysis. Closed loop performance specification. PID controllers. Ziegler-Nichols. Self-tuning methods,
- Enhanced controllers: Cascade control. Feedforward control. Control of non-linear systems. Control of systems with delay,
- Digital controllers: Effects of sampling. Implementation of PID controller. Stability and tuning,
- Advanced control topics: Hierarchical control. Kalman filter. System Identification. Model predictive control. Statistical process control. The use of expert systems and neural networks in industrial control,
- Design packages for process control systems: Examples including Simulink and MATLAB,
- Case studies: Examples will be chosen from a range of industrial systems including mechanical, chemical and fluid systems.
Who should attend
The course will be of particular interest to automation engineers employed in various industries, such as the process, energy, water, oil & gas, pharmaceutical and food industries, who are involved with process automation and control, either in the design or development of control systems, their application, operation and management.
Concessions10% discount applies if booked 8 weeks in advance. 10% discount for 3rd and subsequent delegates from the same company/site. Only one discount is applicable per booking.
Accommodation options and prices
This is a non-residential course. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information regarding our accommodation on campus can be found here.
Alternatively you may wish to make your own arrangements at a nearby hotel.
Location and travel
Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.
London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world.For further location and travel details
Read our Professional development (CPD) booking conditions.