WHAT WE DO
We provide control engineering consultancy services and training courses.
Control Engineering Consultancy
We can help you develop effective feedback control strategies and assess a whole process including effects on neighbouring/coupled systems and processes. Control objectives, disturbances, nonlinearities, uncertainties, robustness and noise immunity are all considered when a control strategy is developed. Solutions can range from simple classical feedback or feedforward to advanced control, such as model-based methods like MPC or methods like Fuzzy Logic control. However, simplicity is a key objective in our solutions, providing performance criteria can be met.
An in-depth understanding of control technologies together with first-hand experience in diverse industrial applications uniquely positions us to deliver exceptional value to our clients.
Simulation Development
Many of our projects involve the development of high-fidelity and properly validated models, derived from first principles or plant data. This enables "what-if" questions to be asked and allows a new control solution to be compared against the existing to quantify benefits before deploying with confidence.
Our engineers utilise a wide variety of modelling packages such as MATLAB/Simulink, LabVIEW and CD&SIM Toolkit, and Hysys. We can also undertake re-coding of legacy models into new modelling packages, including model conversion from Simulink to LabVIEW.
Software Engineering
Our in-house expertise comes to the fore when an embedded control, signal processing or data acquisition application needs to be turned into reality.
Designs can be implemented as real time applications using LabVIEW and CompactRIO. Our engineers follow proven software design steps of specification, design, implementation, test and deployment, and include software quality plans and extensive documentation.
We can undertake development of bespoke algorithms and tools for control or data processing to meet your company specific needs. Software can be developed in a variety of languages including C/C++, MATLAB, LabVIEW. As an NI Alliance Partner, ISC has staff certified in using LabVIEW.
Training
Latest Posts on LinkedIn
Should we Invest Effort in AI and Machine Learning for Control Applications
As a broad generalisation it seems that directors of companies are keen to explore the benefits of artificial intelligence (AI), mainly because of the possibility of reducing staff numbers by exploiting the abundance of data the company gathers in more useful ways. It is very likely that the general management of a business can be advanced by using data more effectively. However, for control engineers the focus is more on improving the control of machinery or processes at a plant level. The question is therefore whether machine learning is likely to improve future systems.
Digital Twin for Electric Vehicle Monitoring
ISC and NXP Semiconductors ran a project applying digital twin and machine learning technologies to the estimation of remaining useful lifetime and predictive maintenance of electric vehicles. A paper presenting the results of the project has been accepted by the IEEE 20th International Conference on Automation Science and Engineering (CASE).
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