Non-iterative data-driven control design techniques are very compelling for their ease of implementation and the convenience of only using one set of collected data to do the design. During the period of the data set collection, disturbances that may have occurred to the plant will influence on the design results. On this paper, we use a refrigeration system model to test the effects of different disturbance signals during a closed-loop test to the performance of the controllers obtained through two different non-iterative data-driven controller design methods. The controllers obtained were compared on how far the performance obtained was from the desired response and on the Ratio of Integrated Absolute Variation of Control signal (RIAVU). The results show that the disturbances do interfere in the estimated controllers, changing the closed-loop response. Filtering the collected data before applying the data-driven methodologies improved the results significantly, considering the chosen disturbance signals.

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