Multivariable Process Control

Abstract The structure of multivariable systems is examined and the derivation of multivariable models using experimental test procedures is explored. An example of a laboratory scale multivariable plant, a motor/alternator rig, is described and results are presented to illustrate how simple transfer function models can be derived from step response tests. The design of decoupling precompensators, are shown to be useful in removing interactions. The basic features of a second multivariable laboratory-scale process with different dynamic characteristics are also included.