Process Management & Control

Model Predictive Control for a Batch Crystallisation Process - A Digital Design Approach

Model Predictive Control for a Batch Crystallisation Process - A Digital Design Approach
  • Date From 7th March 2019
  • Date To 7th March 2019
  • Price Free of charge
  • Location Online

This webinar will cover a digital design approach to the development and testing of MPC. In particular, a live case study demonstration will be given on a batch crystallisation process flowsheet which acts as a virtual plant. A data driven MPC scheme is developed by performing step tests on the virtual plant. The designed MPC scheme manipulates the MSMPR cooling rate to control the supersaturation of the crystallisation process. This digital design approach to controller development and testing is shown to reduce the real-life experimental effort as well as material consumption for process development.

The webinar is intended for those who wish to learn more about Model Predictive Control of Pharmaceutical processes, by exploring a simulation case study in real time. The focus is on the use of digital design techniques for the development and testing of MPC schemes. The webinar will be of particular interest to process experts interested in the control of Pharmaceutical manufacturing processes.

Speakers

Matthew McEwan leads the formulated products Advanced Process Control team and has 15 years of experience designing and commissioning control systems with integrated analytical equipment. Matthew has a PhD in aerospace engineering from the University of Manchester.

Furqan Tahir has over six years of experience with advanced process control, optimisation, and monitoring. Furqan works on the Pharmaceutical team at Perceptive Engineering, with particular focus on the control and monitoring of various continuous manufacturing processes such as crystallisation reactors, twin screw granulator, and tablet press. He has a particular interest in hybrid modelling approaches - first principle and empirical – for real time optimisation and control.

Time

9:00—10:00 GMT

Format

A one-hour online session: 40 minutes' presentation + 20 minutes' Q&A.
Duration (for CPD recording purposes): up to one hour.

If you are recording mandatory CPD you should refer to your own regulator's requirements as recognition of CPD hours may vary.

Software

The presentation will be delivered via GoToWebinar®. 
Check system requirements.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you'll need to be a member of the Process Management & Control Special Interest Group.

If you're interested in giving an online presentation to our international community of chemical engineers, we'd like to hear from you. Please email special interest groups support team with information on yourself and your proposed talk.

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