Predicting the performance of soft sensors as a route to low cost automation

Abstract Control improvements often result from the development of new (hardware) sensors to facilitate the measurement of key process variables. However, the development of new sensors is often a prohibitively costly exercise. Hence, in the context of low cost automation, it is of great interest to consider the use of model-based (or soft) sensors in lieu of hardware sensors. In principle, this is generically possible. However, there are unavoidable performance penalties associated with the use of soft-sensors. In this paper, we will describe procedures for predicting the performance of soft-sensors so that their use can be appropriately evaluated as a route to low cost automation.

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