Model-free control
Abstract
''Model-free control'' and the corresponding ''intelligent'' PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account. The basics of model-free control is now employing some old functional analysis and some elementary differential algebra. The estimation techniques become quite straightforward via a recent online parameter identification approach. The importance of iPIs and especially of iPs is deduced from the presence of friction. The strange industrial ubiquity of classic PID's and the great difficulty for tuning them in complex situations is deduced, via an elementary sampling, from their connections with iPIDs. Several numerical simulations are presented which include some infinite-dimensional systems. They demonstrate not only the power of our intelligent controllers but also the great simplicity for tuning them.
Keywords
PID controllers
intelligent PID controllers
intelligent PI controllers
intelligent P controllers
estimation
noise
flatness-based control
delay systems
non-minimum phase systems
fault accommodation
heat partial differential equations
operational calculus
functional analysis
differential algebra
heat partial differential equations
fault accommodation
non-minimum phase systems
delay systems
model-free control
PID controllers
intelligent PID controllers
intelligent PI controllers
intelligent P controllers
estimation
noise
flatness-based control
operational calculus
functional analysis
differential algebra
Origin : Files produced by the author(s)
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