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Simulation results show that the performance of the control input is improved significantly after integrated optimization.
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The robust ILC design is formulated as a min max problem using a quadratic performance criterion subject to constraints of the control input update.
It is also seen that the system still possesses the advantage of fast response and good transient performance even though the control input is nonlinear.
The controller design is formulated as a multi-objective optimization problem where the peak-value of the control input and H∞ performance are the cost functions.
Instead, the asymptotic average performance can possibly be improved by considering the influence of the disturbance explicitly within the design of the control input.
An upper bound on the LQ performance of the output transient and the control input is derived, where the cost penalises the output transient and the control effort on the time interval where the output lies outside the prescribed neighbourhood of zero to which we achieve convergence.
Moreover, performance of the fuzzy controller in terms of decay rate and constraint on the control input is studied and LMI conditions for these performance criteria are obtained.
Minimization of the powerloss, the weight, the control input and dynamic performance indices and maximization of the load capacity have been considered as objectives.
However, unlike LPSS, the control input of the HVDC-WASC is selected from wide-area signals, in purpose of achieving effective damping performance on low-frequency oscillations.
The input of the system includes two parts, the control input and the disturbance input.
It updates the control input signal only depending on I/O data of previous iteration, and the tracking performance can become better and better.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com