Undershoot Reduction Method
For Dynamical System
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It is well known that undershoot phenomena areinevitable for plants having real unstable zeros.This book, firstly investigate the undershootphenomena caused by unstable zeros of the plant to becontrolled theoretically. Then, propose methods ofreducing the undershoot amount for a plant withunstable zeros by digital control. The ideas arebased on the Linear Quadratic Regulator (LQR) designis to use a modified performance index with anexponential time decay rate using a weighting factorand confirm from simulation results that the weightedoptimal LQR can reduce undershoot in comparison withthe sta...
It is well known that undershoot phenomena are
inevitable for plants having real unstable zeros.
This book, firstly investigate the undershoot
phenomena caused by unstable zeros of the plant to be
controlled theoretically. Then, propose methods of
reducing the undershoot amount for a plant with
unstable zeros by digital control. The ideas are
based on the Linear Quadratic Regulator (LQR) design
is to use a modified performance index with an
exponential time decay rate using a weighting factor
and confirm from simulation results that the weighted
optimal LQR can reduce undershoot in comparison with
the standard LQR case.The next method to reducing
the undershoot amount is by using digital control
design. The idea here is a combination of the
discrete version of the weighted optimal LQR and a
discrete-time controller design with Piecewise
Constant Hold (PCH) instead of Zero Order Hold (ZOH).
By using PCH can change the inter-sample control
input so as to reduce the undershoot amount. The
effectiveness of all method have evaluated by
dynamical system.
inevitable for plants having real unstable zeros.
This book, firstly investigate the undershoot
phenomena caused by unstable zeros of the plant to be
controlled theoretically. Then, propose methods of
reducing the undershoot amount for a plant with
unstable zeros by digital control. The ideas are
based on the Linear Quadratic Regulator (LQR) design
is to use a modified performance index with an
exponential time decay rate using a weighting factor
and confirm from simulation results that the weighted
optimal LQR can reduce undershoot in comparison with
the standard LQR case.The next method to reducing
the undershoot amount is by using digital control
design. The idea here is a combination of the
discrete version of the weighted optimal LQR and a
discrete-time controller design with Piecewise
Constant Hold (PCH) instead of Zero Order Hold (ZOH).
By using PCH can change the inter-sample control
input so as to reduce the undershoot amount. The
effectiveness of all method have evaluated by
dynamical system.
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