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
Optimising Energy in Fuel Cell Powered Ships Using ML and MPC
ISC Ltd. has developed a power management system for a vessel powered by hydrogen Fuel Cells that combines Model Predictive Control and Machine Learning techniques. The solution reduces power consumption and can limit the degradation in fuel cells and/or batteries. It can be customized to different types of vessels with different power sources and actuators. The hydrogen fuelled ship Energy Management System represent an innovative and modern approach to improving energy efficiency for zero-emission marine transport applications.
Energy Management of Hybrid Electric Vehicles Using Model Predictive Control
ISC Ltd is grateful for the support from NXP Semiconductors on a project to develop a vehicle Energy Management System (EMS) based on Model Predictive Control (MPC). It included Processor-In-the-Loop (PIL) testing to demonstrate the attractive performance of the EMS. This is a crucial part of Hybrid Electric Vehicles (HEVs), needed to optimize the combination of the electric motors and combustion engine in hybrid powertrains. It exploits advances in convex optimisation to reduce battery degradation and consumption, to improve the range of a HEV.
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