EICASLAB offers a professional support and advanced features to address the overall control parameter optimisation process.

  

The Control Parameter Optimisation advanced feature is managed in EICASLAB by the professional MPI/CPO Manager tool available in the MPI/CPO EICASLAB module.

  

The Control Parameter Optimisation allows to perform the control parameter tuning in simulated environment.

  

The optimisation is performed numerically over a predefined simulated trial, that is for a given mission (host command sequence and disturbance acting on the plant and any other potential event related to the plant performance) and for a given cost function associated with the plant control performance.

  

The CPO process is performed by a powerful numerical algorithm, originally developed by EICAS, which allows in a very reasonable computing time to get the optimum value of a large number of parameters (it has been already used to optimise the control system with up to about 100 parameters).

  

Both the functionalities are based on a cost function, defined by the user: the MPI/CPO Manager tool simulates the project in an iterative way, by modifying the value of the parameters to be optimised, in order to minimise the value of the cost function.