Response surface tuning methods in dynamic matrix control of a pressure tank system

Dynamic matrix control (DMC) is implemented on a nonlinear, multivariable, experimental pressure tank. Linearized models for the pressure tank are ide ntified using subspace methods, which prove to be suitable over a limited o perating range. When the DMC algorithm is implemented, some tuning/design p arameters are easy to select but others require trial and error. Here, a no vel approach to the selection of these other parameters using response surf ace methodology is used. Finally, the DMC algorithm is implemented on-line and leads to good control.