We can provide technical support for early stage feasibility studies of control strategies or undertake troubleshooting problems for in-service or near-service control systems that are proving problematic.
We are experienced in using dynamic simulations to assess the feasibility of achieving the required control performance, by exploring different sensor types and combinations, and the most effective feedback control scheme. If the assessment had indicated that it needed something too big, too expensive or insufficient performance would result, early decisions could have been made.
Depending on applications, simulations may be built using a range of modelling packages MATLAB/Simulink, LabVIEW and the Control Design and Simulation (CD&Sim) module, etc. Models are kept as simple as possible for the purpose of evaluating dynamic performance.
We are also experienced in implementing control algorithms in full on National Instruments' suite of real-time hardware using its LabVIEW Real-Time, LabVIEW FPGA, LabVIEW MathScript RT and LabVIEW Touch Panel modules.
We can adapt individual courses to suit your company's industry/business.(Examples)
ISC combined optimisation-based predictive control with Machine Learning (ML) improve the control of the power of an fuel cell (FC) powered vessel. The vessel power system model included a set of power sources (FC and battery), systems to be supplied (auxiliary loads and propulsion system), and a command system representing the controller that sets the propulsion power demand. The project demonstrated that combining Linear Parameter-Varying (LPV) - Model Predictive Controller with ML can offer improved control performance with reduced FC degradation and battery stress.
ISC was initially contracted to assess the performance attainable for a hydraulically actuated gangway, when compensating agai415518nst boat motions. This involved modelling the various sources of errors - from sensing, actuation and control performance - to achieve the target performance whilst minimising cost and complexity. ISC were then engaged to implement the entire control system, which included MMI using touch panel computers, real-time control and I/O, solving kinematics, and extensive monitoring and safety logic. Full factory testing and Sea Trials were completed. The system was installed and on active service.
Gain scheduled roll stabilisation controllers were optimised using models of vessel and wave dynamics. Our solution was tested on a nonlinear model of the vessel, and out-performed more advanced methods developed by academic groups.