Application of Multivariable Virtual Reference Feedback Tuning with Anti-Windup to the Benchmark PID 2018 ⁎ ⁎This work has been supported by CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico.

Abstract This work presents an application of the Virtual Reference Feedback Tuning (VRFT) method to a multivariable refrigeration system benchmark. For the Benchmark PID 2018 problem, two approaches are developed: decentralized and centralized multivariable PID controllers are designed using only open-loop collected data. In order to cope with the saturation of the process’ input variables, an anti-windup strategy is associated with the PID controllers. Finally, the closed-loop behavior achieved with VRFT is compared with the reference controller originally provided by the problem, where it can be noted that the performance is considerably enhanced by both proposed designs, with obtained combined indexes of 0.4134 and 0.3635 for the decentralized and centralized controller, respectively.

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