Control Engineering Services for
Process Industry




ISC provides independent, high quality control engineering consultancy services to the process industries.

ISC specialises in:

  • Solving difficult practical control problems that other suppliers have looked at but failed to solve;
  • Optimal control design and parameters that yield the most profitable or best way of operating a plant or system;
  • High-fidelity dynamic simulation for:
    • Benefits analysis of process and control modifications.
    • De-risking the design and commissioning of new process equipment and control systems.
    • Re-tuning troublesome control loops.

Our simulation models are always validated to the highest standards against plant data from production or prototype testing, to ensure that the simulation accurately represent the real system.

Optimal control solutions can range from simple classical feedback/feedforward to advanced control, such as model-based methods like MPC. Nevertheless, simplicity remains a key objective in our solutions, providing performance criteria can be met.

Our clients include Johnson Matthey, LGE, and DSM.


We provide standard, industry specific and bespoke courses on a range of fundamental and advanced control engineering topics.

Industry-Specific Training

We can adapt individual courses to suit your company's industry/business.(Examples)

Looking for control improvement?

Tell us your needs.


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.

Download Project Note >

Correct Vessel Sizing

Use of a dynamic model to determine vessel size for a new chemical plant and to validate effect on upstream and downstream operations prior to being commissioned.

Evaporation Tower Level Instability

Manual operation for an important level controller had become the norm due to instability when in automatic. Two problems were identified - unreliable level measurement and poor tuning. A plan to deploy a different sensor design and subsequent retuning was put in place to solve the problem.

Download Project Note >