PI Controller Tuning via Data-Driven Algorithms for Shape Memory Alloy Systems
Raul‐Cristian Roman, Radu‐Emil Precup, Ștefan Preitl, Alexandra-Iulia Szedlak-Stinean, Claudia‐Adina Bojan‐Dragos, Elena-Lorena-Hedrea, Emil M. Petriu
Abstract
The current paper proposes to compare the performances of a proportional-integral (PI) controller whose parameters are determined in a model-based way using a metaheuristic search algorithm, with the performances of a PI determined in a model-free way by using virtual reference feedback tuning (VRFT) algorithm and using iterative feedback tuning (IFT) algorithm. The PI controller is included in a control system structure to control the position of a shape memory alloy (SMA) laboratory equipment.
Topics & Concepts
Controller (irrigation)Control theory (sociology)PID controllerPosition (finance)Computer scienceAlgorithmShape-memory alloySMA*Control (management)Control engineeringEngineeringArtificial intelligenceTemperature controlBiologyFinanceEconomicsAgronomyIterative Learning Control SystemsControl Systems and IdentificationNeural Networks and Applications