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Simulating controller performance before commissioning the first time can cut commissioning cost tremendously. Through simulation, one can reduce the risk of control failures due to configuration errors, and most importantly save time without disturbing the process. This is true for PID controllers but especially for multiple-input, multiple- output control applications one would like to simulate off-line before downloading in the field. Overlooking the complexity of a multivariable control network as well as eliminating waiting time on slow processes are enough justification for the existence of today’s simulation
packets. However, real savings become apparent when the simulation tool is implemented into the configuration tool, eliminating the need for a third party product and the need for configuration of a simulation. One can quickly manipulate the tuning to optimize control performance without having to maintain one configuration for the simulation tool and one for the real process. This paper talks about requirements and implementation techniques for
embedded, multivariable, model predictive control simulations without configuration. An example is presented.

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