TY - BOOK
T1 - Transfer function data-based control techniques for MIMO systems
AU - Hoeks, J.
AU - Steinbuch, M.
AU - Hoogendijk, R.
AU - Molengraft, van de, M.J.G.
PY - 2011
Y1 - 2011
N2 - Controllers are designed using model-based controller synthesis, e.g., robust control, optimal control
and the root-locus, or using data-based controller design methods. An advantage of a data-based
controller design is that the controller is designed directly on accurate frequency response data (FRD), which can be obtained at low cost for mechatronic systems. Classical loop-shaping is an example of such a technique. On the other hand the data-based controller design methods are limited in applicable synthesis and analysis tools. Unlike data-based controller design techniques, model-based controller synthesis have these well developed controller synthesis and analysis tools. A disadvantage of these techniques is that it requires a model of the system, that is obtained by time consuming and inaccuraat modeling procedures. It would be advantageous to combine the best of both approach; to use the model-based controller synthesis in a data-based way.
In previous research a method is developed to compute Transfer Function Data (TFD), the data-based
version of a transfer function, from FRD for lightly damped single-input-single-output (SISO) systems,
which has the advantage that model-based control synthesis can be implemented in a data-based way
[2] [5]. In this internship project the method for computing TFD is extended to multi-input-multioutput
(MIMO) systems and applications of TFD for MIMO system are studied, e.g., evaluation of the
closed-loop pole locations and the computation of a root-locus for MIMO systems in a data-based way.
Also the value of these applications are indicated with simulations on the FRD of an experimental
setup.
AB - Controllers are designed using model-based controller synthesis, e.g., robust control, optimal control
and the root-locus, or using data-based controller design methods. An advantage of a data-based
controller design is that the controller is designed directly on accurate frequency response data (FRD), which can be obtained at low cost for mechatronic systems. Classical loop-shaping is an example of such a technique. On the other hand the data-based controller design methods are limited in applicable synthesis and analysis tools. Unlike data-based controller design techniques, model-based controller synthesis have these well developed controller synthesis and analysis tools. A disadvantage of these techniques is that it requires a model of the system, that is obtained by time consuming and inaccuraat modeling procedures. It would be advantageous to combine the best of both approach; to use the model-based controller synthesis in a data-based way.
In previous research a method is developed to compute Transfer Function Data (TFD), the data-based
version of a transfer function, from FRD for lightly damped single-input-single-output (SISO) systems,
which has the advantage that model-based control synthesis can be implemented in a data-based way
[2] [5]. In this internship project the method for computing TFD is extended to multi-input-multioutput
(MIMO) systems and applications of TFD for MIMO system are studied, e.g., evaluation of the
closed-loop pole locations and the computation of a root-locus for MIMO systems in a data-based way.
Also the value of these applications are indicated with simulations on the FRD of an experimental
setup.
M3 - Report
T3 - CST
BT - Transfer function data-based control techniques for MIMO systems
PB - Eindhoven University of Technology
CY - Eindhoven
ER -