Robust IMC-PID Controller Design using VRFT: Theoretical and Experimental Investigation

Chiluka, Suresh Kumar; Rao, A. Seshagiri; Sonawane, Shirish H.; Seepana, Murali Mohan; Babu, G. Uday Bhaskar

doi:10.1016/j.ifacol.2022.04.040

Cited by 1 publication

(2 citation statements)

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“…The obtained VRFT controllers are compared against three standard PID controllers: one tuned using the VRFT methodology proposed by [34] and PI and PID controllers tuned using the Internal Model Control (IMC) Method. For the PID-VRFT controller tuning, the system input/output response, shown in Figure 9a,b, is used with the reference model (26) and the PID controller structure (27). After the synthesis process, the controller parameters are K p = −18.08…”

Section: Vrft Against Pid Controllers Comparisonmentioning

confidence: 99%

“…Likewise, [24] presents the use of VRFT on a cooperative control system with Neuroendocrine Ultrashort Feedback Controllers. Moreover, VRFT can be employed on multiple input multiple output (MIMO) configurations by defining a multivariable reference model [25] or combined with the internal model control (IMC) design method for dual temperature control [26].…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of a Recursive Feedforward-Based Virtual Reference Feedback Tuning (VRFT) Controller for Temperature Uniformity Control Applications

Araque,

Angel,

Viola

et al. 2023

Machines

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Data-driven controller synthesis methods use input/output information to find the coefficients of a proposed control architecture. Virtual Reference Feedback Tuning (VRFT) is one of the most popular frameworks due to its simplicity and one-shoot synthesis style based on open-loop system response for classic regulators such as PI or PID. This paper presents a recursive VRFT framework to extend VRFT into high-order controllers with more complex structures. The framework first defines a reference model and controller structure, then uses the open-loop data to compute the virtual reference and error signals, and, finally, uses these to find the controller parameters via an optimization algorithm. Likewise, the recursive VRFT controller performance is improved by adding a model-based feedforward loop to improve reference signal tracking. The recursive method is tested to design a temperature uniformity control system. The obtained results show that the recursive VRFT with a feedforward improves the system response while allowing more complex controller synthesis.

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Section: Vrft Against Pid Controllers Comparisonmentioning

confidence: 99%