Based on the application of the ship power management system, the purpose of this work is
to provide a method for operating an autonomous voltage regulator. To maintain the steady …

This paper explores the utilization of an artificial neural network (ANN) controller based on
neural networks to replace the conventional PID controller in load frequency control of a …

The PID controller has been used as the effective control method. The proper adjustment of
the gains is of great importance to obtain the desired performance of the controller …

In this paper, the design process of neural network-based controller application to
hydropower plant control system is presented in order to improve the dynamic behavior …

Any system's effectiveness can be assessed by the standard output that it produces for the
load. Voltage, current, and frequency are the three most important factors that determine the …

The power system stabilizer is based on artificial neural networks and is designed to cope
with changing operational circumstances in real-world applications. The parameters of a …

This paper presents the outcome of a scoping study addressing requirements for the role of
intelligent power management in future and legacy platforms. We highlight a number of non …

Neural networks are receiving attention as controllers for many industrial applications.
Although these networks eliminate the need for mathematical models, they require a lot of …

The paper presents laboratory implementation of a photovoltaic artificial neural network
(ANN) based maximum power tracking controller. The control objective is to track the …

This paper represents the development of an intelligent control by applying model predictive
control to the power management of a DC-based ship system. In a shipboard power system …