The easiest may be to create a new control model that takes 4 input signals and computes their average - that is then sent out as control action.
Here's a template:
[code]
CLASS Average04
(* icon = "ICONNAME" *)
SPECIALISES PhysicalDAEModelType :=
{:
comments <- "A model for a proportional-integral controller with saturation";
interface <-
{
OBJ y_M1 (* terminal = "in_1" *) "Input No.1" : Concentration := {: causality <- "CIN" ; group <- "Measurement data" :};
// SAME FOR THE OTHER 3 SIGNALS
OBJ u (* terminal = "out_1" *) "Controlled variable" : Concentration := {: causality <- "COUT" ; group <- "Control action" :};
};
independent <-
{
OBJ t "Time" : Time := {: group <- "Time" :};
};
equations <-
{
interface.u = (interface.y_M1 + interface.y_M2 + interface.y_M3 + interface.y_M4) / 4 ;
};
:};
[/code]
The signal out ("u") can then be used as input for another control model - that will provide the actual control action you need (i.e. based on the average of 4 DO measurements).
If the latter controller is one of the default WEST control models (P, PI, ..), you could even create a [b]coupled model[/b] which is much more "elegant" and reusable solution - but may also be tricky.
