A new automatic tuning method for cascade control systems is presented. The technique consists in estimating the parameters of the primary and secondary process simultaneously by evaluating a closed-loop set-point step response. Then, based on the estimated model, the two proportional-integral-derivative controllers are tuned by applying an internal model control strategy. A performance assessment strategy can also be implemented in this context. Both self-regulating and nonself-regulating processes are considered. Simulation results show the effectiveness of the methodology

In this article, we propose an algorithm for the set-point-following performance assessment of a PID controller and for the retuning of the parameters in case the obtained response is not satisfactory. The technique is based on the SIMC tuning rules and can be applied simply by evaluating a set-point step response. Simulation and experimental results obtained with laboratory-scale equipment show the effectiveness of the methodology.

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