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Based on a frequency domain approach a controller design algorithm is stated.
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Compared with existing approaches in the literature, the new design approach constructs a controller with simpler forms and less restrictions.
The RBF neural network is used in a novel approach as a controller in a model reference adaptive control (MRAC) architecture.
The approach utilizes a controller structure that decouples the feedforward and the feedback controller.
This approach produces a controller sequence from a infeasible region to a feasible one.
For further investigating the efficiency of conducted approach, a PID controller has been designed for controlling the ICR of HVDC link, and the results have been compared with those of GPC-BAT method.
In this approach, a droop controller structure maintains the DC voltage close to its nominal value and, at the same time, preserves the power flow in the MTDC grid, overcoming contingencies, such as faults or disconnection of stations.
In this approach, an impedance controller is designed for the master side and an open-loop controller is designed for the slave side.
To evaluate the proposed approach, an impedance controller is designed facing three challenges: different kinds of uncertainty, partial truth, and real-time realization.
As opposed to the conventional control approach, which requires fixed and accurate system parameters, this study considers robust control approach to design a controller capable of tolerating external disturbance and model uncertainties.
Based on the adaptive backstepping control approach, a fuzzy adaptive controller with adaptive parameters is constructed to guarantee all signals of the closed-loop system are bounded and system states can be regulated to the origin.
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