MATLAB and Simulink

WHAT WE DO WHY USE US EXAMPLES OF OUR WORK CUSTOMER FEEDBACK

 

WHAT WE DO

We carry out consultancy projects and provide training courses based on MATLAB, Simulink, and related MathWorks tools.

We can use MATLAB and Simulink to build properly validated dynamic models and simulation to meet your company-specific objectives. Models can be derived from first principles or plant data. Additionally, we help clients understand the developed model to the depth they require and provide training if appropriate.
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INDUSTRIES WE SERVE

Our services are available to a range of industries:

WHY USE US

We provides an in-depth understanding of control technologies as well as experience in diverse industrial applications:

  • We are active in diverse industrial applications.
  • We are renowned for expert analysis of complex problems and is dedicated to identifying practical and innovative solutions.
  • Our training courses in control are aimed at providing sustainable, long-term improvements in asset performance through the development of in-house resources.
  • Our impartiality means they can provide the most appropriate solutions for clients.
  • We imparts understanding and empowers clients to drive improvements themselves.
  • We have proven project management and research skills.

EXAMPLES OF OUR WORK

Simulation of Membrane Filtration Package

ISC developed a first principles model of this novel process for use on an offshore oil platform. This was to de-risk and refine the process design as it went through the design and factory testing phases to give our client much greater confidence of the system working properly as it moved to final commissioning and use. The model was able to replicate system operation in all expected produced water flow rates and quality, and we were able to refine recommended operational procedures, control strategy and loop tuning.

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Assessment of Process Changes

A chemical company wanted to greatly reduce the size of a mixing vessel to minimise waste when changing recipes. A dynamic model was built to assess the viability of level control and the impact on composition and wider process operations.

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Improving CHP Steam Pressure

A detailed dynamic model of a CHP plant was used to investigate how steam pressure could be improved though modified control strategies. The study showed improved stability and a potential increase in steam turbine power output.

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Nuclear Power Plant Modelling

To investigate the possibility of trips in the steam condensate plant a high fidelity dynamic model was developed and used to identify where additional sensing would be beneficial.

WHAT OUR CUSTOMERS SAID ABOUT OUR WORK